Triple

T14735326
Position Surface form Disambiguated ID Type / Status
Subject Deer Park, Texas E346189 entity
Predicate borderedBy P224 FINISHED
Object Channelview, Texas E312222 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: Channelview, Texas | Statement: [Deer Park, Texas, borderedBy, Channelview, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channelview, Texas
Context triple: [Deer Park, Texas, borderedBy, Channelview, Texas]
  • A. Channelview, Texas chosen
    Channelview, Texas is an unincorporated community and census-designated place in eastern Harris County that serves as an industrial and residential suburb of Houston.
  • B. Chandler, Texas
    Chandler, Texas is a small city in East Texas known for its rural community character and proximity to the larger city of Tyler.
  • C. Chireno, Texas
    Chireno, Texas is a small rural community in East Texas known for its historic roots and close-knit, predominantly agricultural character.
  • D. Riverside, Texas
    Riverside, Texas is a small city in East Texas known for its rural character and proximity to the Trinity River and Sam Houston National Forest.
  • E. Woodcreek, Texas
    Woodcreek, Texas is a small residential city in the Texas Hill Country, known for its proximity to Wimberley and its scenic, wooded surroundings.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.