Triple
T290654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number One Observatory Circle |
E5983
|
entity |
| Predicate | firstVicePresidentMoveInYear |
P902
|
FINISHED |
| Object | 1977 |
—
|
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: 1977 | Statement: [Number One Observatory Circle, firstVicePresidentMoveInYear, 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVicePresidentMoveInYear Context triple: [Number One Observatory Circle, firstVicePresidentMoveInYear, 1977]
-
A.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
B.
relocatedToWashingtonYear
chosen
Indicates the year in which an entity moved or was transferred to Washington as its new location.
-
C.
inauguratedBy
Indicates that an official event, institution, or position was formally opened, initiated, or brought into operation by a specific person or authority.
-
D.
endOfFirstPresidency
Indicates the point in time when an entity’s first term in a presidential office concludes.
-
E.
presidentDuringVicePresidency
Indicates that one person served as president during the period when another person was serving as vice president.
- 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.