Triple
T35608231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Deputy Chief of Staff |
E1028959
|
entity |
| Predicate | isInBuilding |
P166606
|
FINISHED |
| Object | White House |
—
|
NE NERFINISHED |
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: White House | Statement: [Office of the Deputy Chief of Staff, isInBuilding, White House]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInBuilding Context triple: [Office of the Deputy Chief of Staff, isInBuilding, White House]
-
A.
isLocatedInBuilding
chosen
Indicates that one entity is physically situated within or inside the structure of a particular building.
-
B.
occursInBuilding
Indicates that an event or activity takes place within a specific building.
-
C.
setInBuilding
Indicates that one entity is located within or takes place inside a particular building.
-
D.
signedInBuilding
Indicates that an entity has formally recorded their presence or checked in within a particular building.
-
E.
locatedInBuildingWithFeature
Indicates that something is located in a building that possesses a specified feature or characteristic.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec80034819090b6ef7a0ffe2d3a |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.