Triple
T16537928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A16 motorway |
E401740
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Boulogne-sur-Mer |
E122723
|
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: Boulogne-sur-Mer | Statement: [A16 motorway, passesNear, Boulogne-sur-Mer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boulogne-sur-Mer Context triple: [A16 motorway, passesNear, Boulogne-sur-Mer]
-
A.
Boulogne-sur-Mer
chosen
Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
-
B.
Boulogne
Boulogne is a French football club known for being one of the early professional teams in N’Golo Kanté’s career.
-
C.
Boulogne-sur-Gesse
Boulogne-sur-Gesse is a small commune in southwestern France, known for its rural setting and location in the Haute-Garonne department of the Occitanie region.
-
D.
de Boulogne
de Boulogne is the surname of the French Baroque painter Valentin de Boulogne, known for his dramatic Caravaggesque style.
-
E.
Boulogne-sur-Seine
Boulogne-sur-Seine was a former commune in the western suburbs of Paris, France, now part of Boulogne-Billancourt, known historically as a residential and industrial area along the Seine River.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34559ca948190a9eb810b9b3be079 |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758d82748190acfb8bbc3047d5a5 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:15 a.m.