Triple
T14871975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Chalon |
E349769
|
entity |
| Predicate | associatedTerritory |
P1103
|
FINISHED |
| Object | Chalonnais |
E433829
|
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: Chalonnais | Statement: [Count of Chalon, associatedTerritory, Chalonnais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chalonnais Context triple: [Count of Chalon, associatedTerritory, Chalonnais]
-
A.
Chalonnais
chosen
Chalonnais is the French demonym for inhabitants of the town of Chalonnes-sur-Loire in western France.
-
B.
Châlons-en-Champagne
Châlons-en-Champagne is a historic city in northeastern France and the capital of the Marne department, known for its role in the Champagne wine region and its notable religious and architectural heritage.
-
C.
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
-
D.
Lothier
Lothier was a medieval duchy in the Low Countries, historically associated with the Duchy of Brabant and forming part of the Holy Roman Empire.
-
E.
Grand Reims
Grand Reims is an urban community in northeastern France that groups Reims and surrounding municipalities to coordinate regional governance and development.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e2c94c8190a16f05ea81701fc1 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65129a588190bbad294b500f411f |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.