Triple
T30308057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François d'Albret |
E770844
|
entity |
| Predicate | houseInfluenceArea |
P173275
|
FINISHED |
| Object | Gascony |
—
|
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: Gascony | Statement: [François d'Albret, houseInfluenceArea, Gascony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseInfluenceArea Context triple: [François d'Albret, houseInfluenceArea, Gascony]
-
A.
isHouseInfluenced
Indicates that one house is affected or shaped in some way by another entity, factor, or house.
-
B.
housingArea
Indicates the geographic or spatial area associated with a housing unit or residential property.
-
C.
floorPlanInfluence
Indicates how the layout or design of a floor plan affects or shapes another element, condition, or outcome.
-
D.
homeRangeSize
Indicates the typical spatial extent or area over which an individual or group regularly lives, moves, and conducts its activities.
-
E.
nearbyInfluence
Indicates that one entity affects or exerts influence on another due to being physically or spatially close to it.
- F. None of above. chosen
Provenance (4 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 29, 2026, 7:49 p.m.