Triple
T8356173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern United States politics |
E196685
|
entity |
| Predicate | hasInstitutionalFeature |
P53331
|
FINISHED |
| Object | strong state legislatures |
—
|
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: strong state legislatures | Statement: [Southern United States politics, hasInstitutionalFeature, strong state legislatures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionalFeature Context triple: [Southern United States politics, hasInstitutionalFeature, strong state legislatures]
-
A.
institutionalFeature
chosen
Indicates that something is a characteristic, structure, or property that defines or shapes an institution or institutional arrangement.
-
B.
hasCampusFeature
Indicates that a campus possesses or includes a specific physical or functional feature.
-
C.
hasFlagshipInstitution
Indicates that one entity serves as the primary or leading institution associated with another entity, such as an organization, system, or network.
-
D.
featuresInstitution
Indicates that one entity includes, presents, or highlights an institution as a notable component or participant.
-
E.
supportsInstitution
Indicates that one entity provides assistance, resources, or endorsement to help sustain or advance an institution.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804a344c819089c0a13fe66e3088 |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.