Triple
T7128783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue de la Loi |
E166132
|
entity |
| Predicate | hasPublicTransport |
P1288
|
FINISHED |
| Object | Schuman station |
E187510
|
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: Schuman station | Statement: [Rue de la Loi, hasPublicTransport, Schuman station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schuman station Context triple: [Rue de la Loi, hasPublicTransport, Schuman station]
-
A.
Schuman metro station
chosen
Schuman metro station is a key public transport hub in Brussels, serving metro and rail lines that connect the European Union institutions with the rest of the city and region.
-
B.
Mabillon station
Mabillon station is a Paris Métro station in the 6th arrondissement, serving the Saint-Germain-des-Prés area on the Left Bank.
-
C.
Fabre station
Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
-
D.
Lyon-Jean Macé station
Lyon-Jean Macé station is a railway and multimodal transport hub in Lyon, France, serving regional and local commuter traffic and providing an additional central access point to the city’s rail network.
-
E.
Ségur station
Ségur station is a Paris Métro station in the 15th arrondissement, named after Place Ségur and serving local residential and administrative areas.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66b230c819090ddbc5396868305 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a33bf244819096db1351ebf62413 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.