Triple
T17425607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manche |
E423729
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Avranches |
—
|
NE NERFINISHED |
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: Avranches | Statement: [Manche, hasCity, Avranches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avranches Context triple: [Manche, hasCity, Avranches]
-
A.
Avranches
chosen
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.
-
B.
Craon
Craon is a small historic town in western France known for its château, horse-racing track, and rural charm within the Mayenne department.
-
C.
Condé-sur-Vire
Condé-sur-Vire is a commune in the Manche department of northwestern France, historically noted as the birthplace of the Jesuit missionary and martyr Jean de Brébeuf.
-
D.
Sées
Sées is a historic commune in northwestern France known for its impressive Gothic cathedral and role as a former episcopal seat in the Orne department.
-
E.
Bessin
Bessin is a historic coastal region in Normandy, northwestern France, known for its medieval heritage and its role in the D-Day landings of World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fbfda88190be1c001d64289bf7 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.