Triple

T5898537
Position Surface form Disambiguated ID Type / Status
Subject Brazos Valley E131161 entity
Predicate hasCountySeat P383 FINISHED
Object Franklin, Texas E646325 NE 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: Franklin, Texas | Statement: [Brazos Valley, hasCountySeat, Franklin, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franklin, Texas
Context triple: [Brazos Valley, hasCountySeat, Franklin, Texas]
  • A. Franklin, Texas chosen
    Franklin, Texas is a small city in Robertson County that serves as the county seat and is part of the Brazos Valley region.
  • B. Frankston, Texas
    Frankston, Texas is a small rural town in East Texas known for its close-knit community and location near Lake Palestine.
  • C. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • D. Colfax, Texas
    Colfax, Texas is a small unincorporated rural community located in Van Zandt County in East Texas.
  • E. Whitehouse, Texas
    Whitehouse, Texas is a small city in East Texas that functions primarily as a residential community within the greater Tyler metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f7b3f48190a499d43f8ffb2fa7 completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daed5d188190b499151e636d206d completed March 28, 2026, 1:43 p.m.
Created at: March 22, 2026, 3:58 p.m.