Triple
T1027648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chair U |
E22175
|
entity |
| Predicate | isTraditionallyOccupiedBy |
P24160
|
FINISHED |
| Object | distinguished scholar of the Spanish language |
—
|
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: distinguished scholar of the Spanish language | Statement: [Chair U, isTraditionallyOccupiedBy, distinguished scholar of the Spanish language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTraditionallyOccupiedBy Context triple: [Chair U, isTraditionallyOccupiedBy, distinguished scholar of the Spanish language]
-
A.
occupiedBy
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
-
B.
firstOccupiedBy
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
-
C.
occupiedFrom
Indicates that an entity is in use or inhabited starting from a specified point in time.
-
D.
historicallyInhabitedBy
Indicates that a place or region was inhabited by a particular group or population during some period in the past.
-
E.
traditionallyOneOf
Indicates that something is customarily or historically considered to belong to a specific set, category, or group.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b95bb5908190ad1d5f5e0d8f664d |
completed | March 1, 2026, 10:10 p.m. |
Created at: March 1, 2026, 7:41 p.m.