Triple

T37454043
Position Surface form Disambiguated ID Type / Status
Subject Barbecue Capital of Texas E930746 entity
Predicate appliesToAdministrativeStatus P134515 FINISHED
Object county seat 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: county seat | Statement: [Barbecue Capital of Texas, appliesToAdministrativeStatus, county seat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToAdministrativeStatus
Context triple: [Barbecue Capital of Texas, appliesToAdministrativeStatus, county seat]
  • A. appliesToAdministrativeRole
    Indicates that something is relevant or applicable specifically to an administrative role or position.
  • B. administrativeStatusOfEntityRepresented
    Indicates the current administrative or operational status assigned to the entity that is being represented.
  • C. administrativeStatusCurrent
    Indicates the current administrative status or condition of an entity within a governing or managing system.
  • D. appliedToStatus chosen
    Indicates that an action, rule, or condition is associated with or affects a particular status or state.
  • E. hasAdministrativeType
    Indicates that an entity is associated with a specific category or level of administrative classification (such as type of jurisdiction or administrative unit).
  • 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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffada24d188190a576a02dc280a7fb completed May 9, 2026, 9:56 p.m.
PD Predicate disambiguation batch_69ffad46d6ac819081772f408b1389d5 completed May 9, 2026, 9:55 p.m.
Created at: May 3, 2026, 4:17 p.m.