Triple
T3518268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alstom Citadis |
E74358
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Citadis 305 |
E74358
|
NE 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: Citadis 305 | Statement: [Alstom Citadis, hasVariant, Citadis 305]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Citadis 305 Context triple: [Alstom Citadis, hasVariant, Citadis 305]
-
A.
Citadis 304
The Citadis 304 is a low-floor light rail tram model produced by Alstom for modern urban public transport networks.
-
B.
Alstom Metropolis
Alstom Metropolis is a family of modern, high-capacity metro trains manufactured by Alstom and used in urban rapid transit systems worldwide.
-
C.
Alstom Citadis tram
chosen
The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
-
D.
CAF Urbos 3
The CAF Urbos 3 is a modern low-floor light rail tram model built by Spanish manufacturer CAF and used in various urban tram systems worldwide.
-
E.
Lignes d’Azur urban transport network
The Lignes d’Azur urban transport network is the public transit system serving Nice and its metropolitan area, operating trams, buses, and related services across the Côte d’Azur city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc32f90081908960acb3e94402be |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432f87bc4819087bb8e441c50a503 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:19 p.m.