Triple
T3498631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Gascony |
E73910
|
entity |
| Predicate | hasEthnicContext |
P194
|
FINISHED |
| Object | Gascons |
E210572
|
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: Gascons | Statement: [Duke of Gascony, hasEthnicContext, Gascons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gascons Context triple: [Duke of Gascony, hasEthnicContext, Gascons]
-
A.
Orléanais
Orléanais is a historical region of north-central France centered around the city of Orléans, known for its role in French royal history and the Loire Valley.
-
B.
Saint-Germanois
Saint-Germanois is the French demonym for inhabitants of the town of Saint-Germain-en-Laye, located in the western suburbs of Paris.
-
C.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
-
D.
Gascogne
chosen
Gascogne is a historic cultural region in southwestern France known for its Gascon language, rich rural traditions, and distinctive cuisine including Armagnac and foie gras.
-
E.
Guyenne
Guyenne is a historic province in southwestern France that once formed part of the larger region of Aquitaine and played a key role in medieval Franco-English conflicts.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd3ad548190abbfae820bf3b66d |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d2ef9c819087458a0ac02d4596 |
completed | March 13, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:18 p.m.