Triple
T15425791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tramway T12 Express |
E369504
|
entity |
| Predicate | lineNumber |
P1864
|
FINISHED |
| Object |
T12
T12 is a tram-train line in the Île-de-France region that connects suburban areas using both tramway and railway infrastructure.
|
E1155898
|
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: T12 | Statement: [Tramway T12 Express, lineNumber, T12]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T12 Context triple: [Tramway T12 Express, lineNumber, T12]
-
A.
T11
T11 is the FAA location identifier assigned to Yap International Airport in the Federated States of Micronesia.
-
B.
T11
T11 is a tram-train line of the Île-de-France public transport network serving the northern suburbs of Paris.
-
C.
T10
T10 is a technical committee under INCITS responsible for developing standards for SCSI (Small Computer System Interface) and related storage interfaces.
-
D.
T.120
T.120 is an ITU-T standard protocol suite that supports real-time, multipoint data conferencing features such as application sharing and whiteboarding over networks.
-
E.
T1
T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
- 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: T12 Triple: [Tramway T12 Express, lineNumber, T12]
Generated description
T12 is a tram-train line in the Île-de-France region that connects suburban areas using both tramway and railway infrastructure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T12 Target entity description: T12 is a tram-train line in the Île-de-France region that connects suburban areas using both tramway and railway infrastructure.
-
A.
T11
T11 is the FAA location identifier assigned to Yap International Airport in the Federated States of Micronesia.
-
B.
T11
T11 is a tram-train line of the Île-de-France public transport network serving the northern suburbs of Paris.
-
C.
T10
T10 is a technical committee under INCITS responsible for developing standards for SCSI (Small Computer System Interface) and related storage interfaces.
-
D.
T.120
T.120 is an ITU-T standard protocol suite that supports real-time, multipoint data conferencing features such as application sharing and whiteboarding over networks.
-
E.
T1
T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec1fb288190a3625b8e4f487dd1 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7ed0ec8190b8086f78df965b61 |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b3c563481908418411a977df343 |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1c0ad5448190903dc38f78512f3b |
completed | May 9, 2026, 11:35 a.m. |
Created at: April 10, 2026, 3:20 a.m.