Triple

T18225569
Position Surface form Disambiguated ID Type / Status
Subject Channelview industrial area E436412 entity
Predicate locatedIn P40 FINISHED
Object Channelview, Texas NE NERFINISHED

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: [Channelview industrial area, locatedIn, Channelview, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Channelview, Texas
Context triple: [Channelview industrial area, locatedIn, 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. Channing, Texas
    Channing, Texas is a small rural city in the Texas Panhandle known historically as a railroad town and ranching community.
  • C. 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.
  • D. Chireno, Texas
    Chireno, Texas is a small rural community in East Texas known for its historic roots and close-knit, predominantly agricultural character.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4aeb4cc81908959413c368a2243 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.