Triple
T4016479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metz |
E90772
|
entity |
| Predicate | hasTransportHub |
P2413
|
FINISHED |
| Object | Gare de Metz-Ville |
E172745
|
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: Gare de Metz-Ville | Statement: [Metz, hasTransportHub, Gare de Metz-Ville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gare de Metz-Ville Context triple: [Metz, hasTransportHub, Gare de Metz-Ville]
-
A.
Gare de Bitche
Gare de Bitche is the main railway station serving the town of Bitche in northeastern France, providing regional train connections for local passengers.
-
B.
Metz railway station
chosen
Metz railway station is a major historic rail hub in the city of Metz, France, known for its monumental German imperial architecture and role as a key regional and international transport gateway.
-
C.
Gagny station
Gagny station is a suburban railway station in the eastern outskirts of Paris, France, serving the commune of Gagny on the regional RER network.
-
D.
Reims-Maison-Blanche station
Reims-Maison-Blanche station is a local railway station serving the city of Reims in northeastern France.
-
E.
Gare de Strasbourg
Gare de Strasbourg is the main railway station of Strasbourg in northeastern France, serving as a major regional and international rail hub, including high-speed TGV connections.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa7352481908232534c89a698e7 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556295aa081908e803233b986fec9 |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 9, 2026, 3:35 p.m.