Triple

T20021806
Position Surface form Disambiguated ID Type / Status
Subject Brazoria County, Texas E494878 entity
Predicate hasTown P847 FINISHED
Object Oyster Creek, Texas NE NERFINISHED

How this triple was built (3 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: Oyster Creek, Texas | Statement: [Brazoria County, Texas, hasTown, Oyster Creek, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyster Creek, Texas
Context triple: [Brazoria County, Texas, hasTown, Oyster Creek, Texas]
  • A. Seabrook, Texas
    Seabrook, Texas is a coastal city in the Greater Houston metropolitan area known for its waterfront along Galveston Bay, marinas, and proximity to the NASA Johnson Space Center.
  • B. Lake Creek, Texas
    Lake Creek, Texas is a small unincorporated rural community located in Delta County in northeastern Texas.
  • C. Bayou Vista, Texas
    Bayou Vista, Texas is a small coastal city in Galveston County known for its waterfront homes and canal-based residential layout along the Gulf Coast.
  • D. Port Neches, Texas
    Port Neches, Texas is a small industrial city in Jefferson County in Southeast Texas, situated along the Neches River and known for its petrochemical industry and riverfront community.
  • E. Oak Point, Texas
    Oak Point, Texas is a small, fast-growing residential city in Denton County within the Dallas–Fort Worth metropolitan area, known for its suburban lakeside setting near Lewisville Lake.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oyster Creek, Texas
Target entity description: Oyster Creek, Texas is a small coastal city in Brazoria County known for its proximity to the Gulf Coast and the nearby petrochemical and energy industries.
  • A. Seabrook, Texas
    Seabrook, Texas is a coastal city in the Greater Houston metropolitan area known for its waterfront along Galveston Bay, marinas, and proximity to the NASA Johnson Space Center.
  • B. Lake Creek, Texas
    Lake Creek, Texas is a small unincorporated rural community located in Delta County in northeastern Texas.
  • C. Bayou Vista, Texas
    Bayou Vista, Texas is a small coastal city in Galveston County known for its waterfront homes and canal-based residential layout along the Gulf Coast.
  • D. Port Neches, Texas
    Port Neches, Texas is a small industrial city in Jefferson County in Southeast Texas, situated along the Neches River and known for its petrochemical industry and riverfront community.
  • E. Oak Point, Texas
    Oak Point, Texas is a small, fast-growing residential city in Denton County within the Dallas–Fort Worth metropolitan area, known for its suburban lakeside setting near Lewisville Lake.
  • F. None of above. chosen

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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.