Triple
T27106071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal Party of New York |
E686581
|
entity |
| Predicate | foundedAsSplitFrom |
P138497
|
FINISHED |
| Object | American Labor Party |
—
|
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: American Labor Party | Statement: [Liberal Party of New York, foundedAsSplitFrom, American Labor Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsSplitFrom Context triple: [Liberal Party of New York, foundedAsSplitFrom, American Labor Party]
-
A.
wasDividedFrom
chosen
Indicates that one entity was separated or split off from another entity, resulting in two distinct parts or groups.
-
B.
foundedAsPartOf
Indicates that an entity was established as a component, division, or subset of a larger existing organization, project, or structure.
-
C.
divisionFormedFrom
Indicates that an organizational division was created by splitting off from or being reorganized out of another existing entity.
-
D.
foundedAsResultOf
Indicates that one entity was established or created as a direct consequence or outcome of another event, action, or circumstance.
-
E.
foundedByMergerOf
Indicates that an entity was created through the merger or combination of two or more predecessor entities.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 8:50 a.m.