Triple
T21061333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adelaide of Vermandois |
E518852
|
entity |
| Predicate | regionOfActivity |
P82
|
FINISHED |
| Object | Valois |
—
|
NE NERFINISHED |
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: Valois | Statement: [Adelaide of Vermandois, regionOfActivity, Valois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valois Context triple: [Adelaide of Vermandois, regionOfActivity, Valois]
-
A.
Valois
chosen
Valois was a prominent French royal dynasty that ruled France during the late Middle Ages and Renaissance, succeeding the Capetians and preceding the Bourbons.
-
B.
Ansouis
Ansouis is a picturesque hilltop village in southeastern France, renowned for its medieval château and traditional Provençal character.
-
C.
Capet
Capet is the dynastic surname of the medieval French royal house that began with Hugh Capet and ruled France for centuries.
-
D.
Dauphine of France
The Dauphine of France was the title given to the wife of the heir apparent to the French throne, signifying her status as the kingdom’s future queen consort.
-
E.
Souveraine of Valois
Souveraine of Valois was a French noblewoman of the Valois dynasty, known primarily as the daughter of Charles, Count of Angoulême.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb064a48190b892b78e27e8d0fa |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:38 p.m.