Triple
T16699614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Algrange |
E405809
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Boulange |
E825005
|
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: Boulange | Statement: [canton of Algrange, contains, Boulange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boulange Context triple: [canton of Algrange, contains, Boulange]
-
A.
Boulange
chosen
Boulange is a small commune in northeastern France, located in the Moselle department within the Grand Est region.
-
B.
Saint-Honoré
Saint-Honoré is a small municipality in the Saguenay–Lac-Saint-Jean region of Quebec, Canada, known for its rural character and proximity to the city of Saguenay.
-
C.
Brengues
Brengues is a small rural village in southwestern France, known for its scenic limestone cliffs and location in the Célé Valley.
-
D.
Dauphine of Viennois
The Dauphine of Viennois was the title traditionally held by the wife of the Dauphin of France, the heir apparent to the French throne, specifically in relation to the Dauphiné region.
-
E.
Bouchoir
Bouchoir is a small French commune located in the Somme department in northern 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383300d108190911e3cba8e07f2dd |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.