Triple
T2738961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas's 33rd congressional district |
E60701
|
entity |
| Predicate | hasMinorityMajority |
P21204
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Texas's 33rd congressional district, hasMinorityMajority, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMinorityMajority Context triple: [Texas's 33rd congressional district, hasMinorityMajority, yes]
-
A.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
B.
demographicMajority
chosen
Indicates that one group constitutes more than half of the population within a specified context or area.
-
C.
hasMinorityPartyMembers
Indicates that the subject includes or is associated with members belonging to a minority political party.
-
D.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
E.
hasMinorityWhip
Indicates that an organization or legislative body has a specific individual serving in the role of minority whip.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb147a588190829b74fe05b3a114 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.