Triple
T12802466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen’s Closet |
E306054
|
entity |
| Predicate | typicalOccupant |
P44546
|
FINISHED |
| Object | queen_consort |
—
|
LITERAL 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: queen_consort | Statement: [Queen’s Closet, typicalOccupant, queen_consort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOccupant Context triple: [Queen’s Closet, typicalOccupant, queen_consort]
-
A.
fieldOfOccupant
Indicates the specific professional or academic field in which an occupant is engaged or associated.
-
B.
occupants
chosen
Indicates that certain entities are currently inhabiting, residing in, or using a particular place, space, or object.
-
C.
jurisdictionOfOccupant
Indicates the legal authority or control that an occupant exercises over a place, property, or domain.
-
D.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
E.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
- F. None of above.
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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7e3be48190ba9159c9f1ac2ccd |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.