Triple
T11379102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Sulpice metro station |
E269544
|
entity |
| Predicate | networkMapCode |
P57366
|
FINISHED |
| Object |
M4
M4 is one of the main lines of the Paris Métro, running north–south across the city and serving several central and historically significant stations.
|
E922288
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: M4 | Statement: [Saint-Sulpice metro station, networkMapCode, M4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M4 Context triple: [Saint-Sulpice metro station, networkMapCode, M4]
-
A.
M4
M4 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across Lake Geneva.
-
B.
M4
M4 is a general-purpose macro processing language and preprocessor commonly used in Unix-like build systems and tools such as GNU Autoconf.
-
C.
M4
M4 is one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
-
D.
M4
M4 is a major British motorway that runs between London and South Wales, serving as a key route for traffic to and from the west of England.
-
E.
M4
M4 is a driverless metro line in the Copenhagen Metro system that serves key waterfront and urban development areas of the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: M4 Triple: [Saint-Sulpice metro station, networkMapCode, M4]
Generated description
M4 is one of the main lines of the Paris Métro, running north–south across the city and serving several central and historically significant stations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M4 Target entity description: M4 is one of the main lines of the Paris Métro, running north–south across the city and serving several central and historically significant stations.
-
A.
M4
M4 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across Lake Geneva.
-
B.
M4
M4 is a major British motorway that runs between London and South Wales, serving as a key route for traffic to and from the west of England.
-
C.
M4
M4 is a general-purpose macro processing language and preprocessor commonly used in Unix-like build systems and tools such as GNU Autoconf.
-
D.
M4
M4 is a driverless metro line in the Copenhagen Metro system that serves key waterfront and urban development areas of the city.
-
E.
M4
M4 is one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkMapCode Context triple: [Saint-Sulpice metro station, networkMapCode, M4]
-
A.
networkMapName
Indicates the designated name or label assigned to a particular network map within a system or context.
-
B.
networkMapGroup
Indicates a grouping relationship where multiple network elements are organized or associated together within a defined network map or topology group.
-
C.
networkCode
chosen
Indicates that an entity is associated with, identified by, or operates under a specific network code within a communication or organizational network.
-
D.
networkModel
Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
-
E.
networkType
Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556a10f988190b173dc4880a8c6c6 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c8fb948190be87cca65c3b74e1 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56aaa5c9081909f89cfe6a8fc03f0 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.