Triple
T4364379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier of Nevis |
E98736
|
entity |
| Predicate | officeHolderRepresents |
P33479
|
FINISHED |
| Object | constituency in Nevis |
—
|
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: constituency in Nevis | Statement: [Premier of Nevis, officeHolderRepresents, constituency in Nevis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderRepresents Context triple: [Premier of Nevis, officeHolderRepresents, constituency in Nevis]
-
A.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
B.
officeHoldersRepresent
chosen
Indicates that certain office holders act on behalf of, or serve as representatives for, specific entities or groups.
-
C.
officeHolderUsually
Indicates that an entity is the person who typically or customarily holds a particular office or position.
-
D.
officeHolderRoleFor
Indicates that a specific role or position is held by an office holder within an organization or governing body.
-
E.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351fea3e88190807b99868982c491 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:16 p.m.