Triple
T7630400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metz railway station |
E172745
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Metz-Ville station complex |
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: Metz-Ville station complex | Statement: [Metz railway station, partOf, Metz-Ville station complex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metz-Ville station complex Context triple: [Metz railway station, partOf, Metz-Ville station complex]
-
A.
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.
-
B.
Fabre station
Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
-
C.
Colmar station
Colmar station is a SEPTA Regional Rail stop in Colmar, Pennsylvania, serving commuters on the Lansdale/Doylestown Line.
-
D.
Reims station
Reims station is the main railway station serving the city of Reims in northeastern France, providing regional and high-speed train connections.
-
E.
Miromesnil station
Miromesnil station is a Paris Métro station in the 8th arrondissement, serving lines 9 and 13 near major boulevards and government buildings.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa85c57c8190acfd33e0c890c2f9 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870b3984c8190b16a49415556a27d |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.