Triple

T3984951
Position Surface form Disambiguated ID Type / Status
Subject Town of Cross Roads, Texas E86847 entity
Predicate nearbyCity P350 FINISHED
Object Aubrey, Texas E323948 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: Aubrey, Texas | Statement: [Town of Cross Roads, Texas, nearbyCity, Aubrey, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aubrey, Texas
Context triple: [Town of Cross Roads, Texas, nearbyCity, Aubrey, Texas]
  • A. Aubrey, Texas chosen
    Aubrey, Texas is a small town in Denton County known for its rural charm, horse ranches, and proximity to the Dallas–Fort Worth metroplex.
  • B. Abbott, Texas
    Abbott, Texas is a small rural town in Hill County best known as the birthplace of country music legend Willie Nelson.
  • C. Aurora, Texas
    Aurora, Texas is a small rural town in North Texas best known for its 1897 "UFO crash" legend and historic cemetery.
  • D. Van Alstyne, Texas
    Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
  • E. Mount Pleasant, Texas
    Mount Pleasant, Texas is a small city in northeastern Texas that serves as a regional commercial and cultural hub within the Ark-La-Tex 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dfaf28819081b547836d79b889 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402bbe208190947321353c309c98 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.