Triple
T266844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VPOTUS |
E5748
|
entity |
| Predicate | constitutionalOffice |
P2259
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [VPOTUS, constitutionalOffice, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constitutionalOffice Context triple: [VPOTUS, constitutionalOffice, yes]
-
A.
constitutionalPosition
chosen
Indicates the official role, office, or status an entity holds within a constitutional or legal framework.
-
B.
constitutionalFunction
Indicates that an entity serves a role, duty, or purpose as defined or required by a constitution or foundational governing framework.
-
C.
conferringBody
Indicates the organization or authority that formally grants or bestows something, such as an award, degree, or title, upon a recipient.
-
D.
seatOfGovernment
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
-
E.
leftOffice
Indicates that an entity ceased holding or performing the duties of 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.