Triple
T4472525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manche |
E98526
|
entity |
| Predicate | subprefecture |
P9697
|
FINISHED |
| Object | Coutances |
E319547
|
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: Coutances | Statement: [Manche, subprefecture, Coutances]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coutances Context triple: [Manche, subprefecture, Coutances]
-
A.
Coutances
chosen
Coutances is a historic town in northwestern France known for its Gothic cathedral and role as an administrative and cultural center in the Manche department of Normandy.
-
B.
Angeville
Angeville is a small commune in the Tarn-et-Garonne department in southern France.
-
C.
Senlis
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.
-
D.
Avranches
Avranches is a historic town in northwestern France, near Mont-Saint-Michel, known for its medieval heritage and role in the liberation of Normandy during World War II.
-
E.
Châteaubriant
Châteaubriant is a historic town in western France known for its medieval castle and role as a local administrative and cultural center.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356b832c0819096f76b694277d36e |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b628764bf081909a7a1079d0176c66 |
completed | March 15, 2026, 3:33 a.m. |
Created at: March 12, 2026, 11:35 p.m.