Triple
T10290440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indre |
E241347
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Le Blanc |
E819025
|
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: Le Blanc | Statement: [Indre, containsTown, Le Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Blanc Context triple: [Indre, containsTown, Le Blanc]
-
A.
Le Blanc
chosen
Le Blanc is a small French town in the Indre department, known for its picturesque setting on the Creuse River and its role as a local administrative and commercial center.
-
B.
The White One
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
-
C.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
D.
Pères Blancs
Pères Blancs is a Roman Catholic missionary society founded in the 19th century that is especially known for its evangelization and social work across Africa.
-
E.
L’Ours
L’Ours is the nickname of French football club AC Ajaccio, evoking the strength and rugged character associated with the island of Corsica.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d192288190a64c27a4f26b71fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d1465e88190aaa8b295df3f9c8c |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:41 a.m.