Triple
T290642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number One Observatory Circle |
E5983
|
entity |
| Predicate | currentOccupantRole |
P5518
|
FINISHED |
| Object | 49th Vice President of the United States |
—
|
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: 49th Vice President of the United States | Statement: [Number One Observatory Circle, currentOccupantRole, 49th Vice President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentOccupantRole Context triple: [Number One Observatory Circle, currentOccupantRole, 49th Vice President of the United States]
-
A.
jurisdictionOfOccupant
Indicates the legal authority or control that an occupant exercises over a place, property, or domain.
-
B.
occupiedBy
Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
-
C.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
D.
typeOfRole
chosen
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
E.
occupiedFrom
Indicates that an entity is in use or inhabited starting from a specified point in time.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4f78bc81909a64fd6aaec3b504 |
completed | Feb. 28, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69a25b7d089081909810442c3d0182f6 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.