Triple
T21431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Capitol |
E425
|
entity |
| Predicate | domeCompleted |
P1645
|
FINISHED |
| Object | 1866 |
—
|
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: 1866 | Statement: [United States Capitol, domeCompleted, 1866]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domeCompleted Context triple: [United States Capitol, domeCompleted, 1866]
-
A.
renovationCompleted
Indicates that a renovation process for an entity has been fully finished and is no longer in progress.
-
B.
concludedBy
Indicates that an event, process, or state is brought to an end or finalized by a specific agent or entity.
-
C.
damagedIn
Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
-
D.
demonstratedBy
Indicates that something is shown, proven, or made evident through the actions, behavior, or example of a particular entity.
-
E.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246e94ca881908f7a7d2c0b293033 |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a24654724481909ba14b7f68d2a472 |
completed | Feb. 28, 2026, 1:35 a.m. |
| PDg | Predicate description generation | batch_69a246e7fac481909b0c500d4500650e |
completed | Feb. 28, 2026, 1:37 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.