Triple
T7101664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Liberal Party |
E165472
|
entity |
| Predicate | splitLedTo |
P12217
|
FINISHED |
| Object | formation of more conservative liberal groups |
—
|
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: formation of more conservative liberal groups | Statement: [National Liberal Party, splitLedTo, formation of more conservative liberal groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: splitLedTo Context triple: [National Liberal Party, splitLedTo, formation of more conservative liberal groups]
-
A.
breakdownLedTo
Indicates that one event or situation of breakdown caused or directly resulted in another event or outcome.
-
B.
separatedInto
chosen
Indicates that something has been divided or split into distinct parts, groups, or components.
-
C.
separatesBy
Indicates that one entity divides, partitions, or creates a boundary between two or more other entities.
-
D.
ledFrom
Indicates that one entity served as the source or origin from which another entity was led or guided.
-
E.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e588aee08190bfb3d96135c0a322 |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:42 p.m.