Triple
T10143775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine-et-Loire |
E231649
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Doué-en-Anjou |
E526465
|
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: Doué-en-Anjou | Statement: [Maine-et-Loire, contains, Doué-en-Anjou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doué-en-Anjou Context triple: [Maine-et-Loire, contains, Doué-en-Anjou]
-
A.
Doué-en-Anjou
chosen
Doué-en-Anjou is a commune in western France known for its troglodyte dwellings and wine production in the Maine-et-Loire department of the Pays de la Loire region.
-
B.
Châteaubriant
Châteaubriant is a historic town in western France known for its medieval castle and role as a local administrative and cultural center.
-
C.
Alençon
Alençon is a historic town in northwestern France renowned for its fine lace-making tradition and architectural heritage.
-
D.
Montreuil-Bellay
Montreuil-Bellay is a historic commune in western France’s Maine-et-Loire department, known for its medieval architecture and prominent château overlooking the Thouet River.
-
E.
Sully-sur-Loire
Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb28a1708190b46499dbe51a694a |
completed | April 2, 2026, 4:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e618b0bc8190bc1d6f15dac2708e |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.