Triple
T7778430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallo-Roman walls of Le Mans |
E221451
|
entity |
| Predicate | surrounds |
P7850
|
FINISHED |
| Object | old town of Le Mans |
E43233
|
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: old town of Le Mans | Statement: [Gallo-Roman walls of Le Mans, surrounds, old town of Le Mans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: old town of Le Mans Context triple: [Gallo-Roman walls of Le Mans, surrounds, old town of Le Mans]
-
A.
city of Tours
The city of Tours is a historic city in central France, known for its medieval old town, role as a gateway to the Loire Valley châteaux, and rich cultural heritage.
-
B.
Le Mans
chosen
Le Mans is a historic city in northwestern France best known for its annual 24 Hours of Le Mans endurance sports car race.
-
C.
La Flèche
La Flèche is a historic town in western France known for its royal heritage, educational institutions, and the renowned Zoo de La Flèche.
-
D.
Roanne
Roanne is a commune and industrial town in central France, situated on the Loire River and known historically for its textile industry and river port.
-
E.
Saint-Mard
Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d4480481909d3e8a4df1345299 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf59dfe5c8190972eb9db1b3ca043 |
completed | March 30, 2026, 10:13 p.m. |
Created at: March 30, 2026, 4:16 p.m.