Triple
T14795532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenue Hoche |
E347765
|
entity |
| Predicate | transportNearby |
P5822
|
FINISHED |
| Object | Courcelles station |
E607701
|
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: Courcelles station | Statement: [Avenue Hoche, transportNearby, Courcelles station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courcelles station Context triple: [Avenue Hoche, transportNearby, Courcelles station]
-
A.
Vaucelles station
Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
-
B.
Vaneau station
Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
-
C.
Nice-Ville station
Nice-Ville station is the main railway station in Nice, France, serving as a major hub for regional and long-distance train services along the French Riviera.
-
D.
Miromesnil station
chosen
Miromesnil station is a Paris Métro station in the 8th arrondissement, serving lines 9 and 13 near major boulevards and government buildings.
-
E.
Pétillon station
Pétillon station is a Brussels Metro stop located in the eastern part of the city, serving local commuters on the network’s Line 5.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389183a881908e6af44b71f81ace |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:31 a.m.