Triple
T20837949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puteaux station |
E513011
|
entity |
| Predicate | hasTramwayFunction |
P58541
|
FINISHED |
| Object | light rail stop |
—
|
LITERAL FINISHED |
How this triple was built (2 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: light rail stop | Statement: [Puteaux station, hasTramwayFunction, light rail stop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTramwayFunction Context triple: [Puteaux station, hasTramwayFunction, light rail stop]
-
A.
hasTramway
Indicates that a location or area is served by, contains, or is connected to a tramway system.
-
B.
hasTramTrainLine
Indicates that there exists a tram-train line connection or service linking the related entities.
-
C.
hasTramcarsFrom
Indicates that a tramcar originates from, or is sourced from, a specified location or provider.
-
D.
hasStreetcarSystem
Indicates that a place possesses or is served by an operational streetcar (tram) transit system.
-
E.
hasPublicTransitFunction
chosen
Indicates that something serves a role or provides a service related to public transportation operations or infrastructure.
- F. None of above.
Provenance (3 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3280a1881909a86d1fe498aee50 |
completed | April 21, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:42 p.m.