Triple
T8865076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanteuil-le-Haudouin |
E210996
|
entity |
| Predicate | locatedEastOf |
P4240
|
FINISHED |
| Object | Senlis |
E419845
|
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: Senlis | Statement: [Nanteuil-le-Haudouin, locatedEastOf, Senlis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senlis Context triple: [Nanteuil-le-Haudouin, locatedEastOf, Senlis]
-
A.
Senlis
chosen
Senlis is a historic town in northern France known for its medieval architecture and its role in events such as the 14th-century Jacquerie peasant revolt.
-
B.
Montrichard
Montrichard is a historic town in central France’s Loire Valley, known for its medieval castle, picturesque setting on the Cher River, and traditional regional architecture.
-
C.
Châteaudun
Châteaudun is a historic town in north-central France known for its medieval château overlooking the Loir River and its role as a gateway to the Loire Valley.
-
D.
Bellême
Bellême is a historic town in northwestern France’s Normandy region, known for its medieval architecture and picturesque setting on the edge of the Perche forest.
-
E.
Serigny
Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610569d08190b108107dfe397f18 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0d311148190823cc047e2908bc0 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.