Triple
T2212083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geneva public transport network |
E50939
|
entity |
| Predicate | hasBoatLine |
P36817
|
FINISHED |
| Object |
M3
M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
|
E245717
|
NE FINISHED |
How this triple was built (4 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: M3 | Statement: [Geneva public transport network, hasBoatLine, M3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M3 Context triple: [Geneva public transport network, hasBoatLine, M3]
-
A.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
-
B.
M2
M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
-
C.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
D.
M5
M5 is a major British motorway that runs through the West Midlands and South West England, connecting the Midlands to the South West peninsula.
-
E.
M6
The M6 is a major north–south motorway in the United Kingdom that runs through the Midlands and North West England, forming a key part of the country’s strategic road network.
- 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: M3 Triple: [Geneva public transport network, hasBoatLine, M3]
Generated description
M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M3 Target entity description: M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
-
A.
M3
M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
-
B.
M2
M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
-
C.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
D.
M5
M5 is a major British motorway that runs through the West Midlands and South West England, connecting the Midlands to the South West peninsula.
-
E.
M6
The M6 is a major north–south motorway in the United Kingdom that runs through the Midlands and North West England, forming a key part of the country’s strategic road network.
- F. None of above. chosen
Provenance (5 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc5b101d48190a321625720d537b6 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655245c48190a37f4b6344a9a3dc |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae66579c008190876ce89581337293 |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae668ef8bc819085ed1c83f447d396 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.