Triple
T1758462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Party |
E38601
|
entity |
| Predicate | dissolvedInYearApprox |
P18224
|
FINISHED |
| Object | 1860 |
—
|
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: 1860 | Statement: [American Party, dissolvedInYearApprox, 1860]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dissolvedInYearApprox Context triple: [American Party, dissolvedInYearApprox, 1860]
-
A.
dissolvedInCountry
Indicates that an organization or entity formally ceased to exist or was legally dissolved within the jurisdiction of a specified country.
-
B.
dissolved
Indicates that one substance has been mixed into another so thoroughly that it forms a uniform solution and is no longer distinguishable as a separate phase.
-
C.
dissolvedInCity
Indicates that an organization or entity was formally dissolved or ceased to exist within the jurisdiction of a specified city.
-
D.
yearOfDisappearance
chosen
Indicates the specific year in which an entity disappeared or ceased to be present.
-
E.
discoveryYear
Indicates the calendar year in which something was first discovered or identified.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.