Triple
T33704210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Senate Democrats |
E863539
|
entity |
| Predicate | hasOpposingCaucus |
P164250
|
FINISHED |
| Object | Texas Senate Republicans |
—
|
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: Texas Senate Republicans | Statement: [Texas Senate Democrats, hasOpposingCaucus, Texas Senate Republicans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpposingCaucus Context triple: [Texas Senate Democrats, hasOpposingCaucus, Texas Senate Republicans]
-
A.
hasOpposedParty
Indicates that one party is in an opposing or adversarial position relative to another party, typically within a dispute, conflict, or legal proceeding.
-
B.
isCaucusOf
chosen
Indicates that one group functions as a caucus, or organized subgroup, within a larger organization, body, or assembly.
-
C.
hasOppositionWithinParty
Indicates that a member or faction faces resistance or disagreement from others within the same political party.
-
D.
hasOppositionCoalition
Indicates that a political entity faces an organized coalition of opposing parties or groups.
-
E.
hasOppositionPartySystem
Indicates that a political system includes one or more organized parties that formally oppose the ruling party or governing coalition.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 1:43 a.m.