Triple
T15860358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chantilly, France |
E384565
|
entity |
| Predicate | near |
P350
|
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: [Chantilly, France, near, Senlis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senlis Context triple: [Chantilly, France, near, 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.
Saint-Gildas-des-Bois
Saint-Gildas-des-Bois is a commune in western France known for its historic abbey and rural setting in the Loire-Atlantique department.
-
D.
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.
-
E.
Châteaurenault
Châteaurenault was a notable 17th-century French naval officer and admiral who played a key role in several major maritime conflicts of his time.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555a1f008190bb3f03b0f35ed8a4 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa941a0a481909c8d8e98861b46d6 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.