Triple
T939948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chair P |
E20282
|
entity |
| Predicate | belongsToType |
P16808
|
FINISHED |
| Object | individual seat of the Royal Spanish Academy |
—
|
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: individual seat of the Royal Spanish Academy | Statement: [Chair P, belongsToType, individual seat of the Royal Spanish Academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToType Context triple: [Chair P, belongsToType, individual seat of the Royal Spanish Academy]
-
A.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
-
B.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
C.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
D.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
E.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38b7da08190ac0853655dab678a |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29c68f48190aecad10e351a99de |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.