Triple
T789569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number One Observatory Circle |
E16880
|
entity |
| Predicate | becameVicePresidentsResidence |
P19311
|
FINISHED |
| Object | 1974 |
—
|
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: 1974 | Statement: [Number One Observatory Circle, becameVicePresidentsResidence, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameVicePresidentsResidence Context triple: [Number One Observatory Circle, becameVicePresidentsResidence, 1974]
-
A.
homeOfPresident
Indicates the location that serves as the residence of a president.
-
B.
firstVicePresidentResident
Indicates that the subject entity serves as the first vice president who resides in or is officially based at the object entity.
-
C.
reoccupiedAsGovernorResidenceFrom
Indicates that an entity resumed using a location as the official governor’s residence, starting from a specified prior holder or state.
-
D.
startTimeOfWhiteHouseResidence
Indicates the time at which an entity’s period of residence in the White House begins.
-
E.
officeLocationAsVicePresident
Indicates the physical office location associated with an entity while it is serving in the role of vice president.
- F. None of above. chosen
Provenance (4 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7841b0c8190859ecd247e32c6ec |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50ef72c819084ffe9f31dbd0262 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:38 p.m.