Triple
T16445937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Castelsarrasin |
E399424
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Angeville |
E399430
|
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: Angeville | Statement: [arrondissement of Castelsarrasin, contains, Angeville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angeville Context triple: [arrondissement of Castelsarrasin, contains, Angeville]
-
A.
Angeville
chosen
Angeville is a small commune in the Tarn-et-Garonne department in southern France.
-
B.
Angevillers
Angevillers is a small commune in northeastern France’s Grand Est region, near the Luxembourg border and historically linked to the Maginot Line fortifications.
-
C.
Vexin
Vexin is a historic region in northern France that once formed a medieval county and is now divided between the Île-de-France and Normandy areas.
-
D.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
E.
Anguerny
Anguerny is a small commune in the Calvados department of the Normandy region in northwestern France.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdcedf8819080aa82a8712c0b42 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045922d748190bb3200c96f244149 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.