Triple

T2928110
Position Surface form Disambiguated ID Type / Status
Subject Houston–The Woodlands–Sugar Land metropolitan area E78892 entity
Predicate containsCity P294 FINISHED
Object Oyster Creek, Texas E312242 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: Oyster Creek, Texas | Statement: [Houston–The Woodlands–Sugar Land metropolitan area, containsCity, Oyster Creek, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyster Creek, Texas
Context triple: [Houston–The Woodlands–Sugar Land metropolitan area, containsCity, Oyster Creek, Texas]
  • A. 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.
  • B. Hawk Cove, Texas
    Hawk Cove, Texas is a small lakeside city in northeastern Texas situated on the shores of Lake Tawakoni.
  • C. Watauga, Texas
    Watauga, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known primarily as a residential community.
  • D. Jones Creek, Texas chosen
    Jones Creek, Texas is a small village in Brazoria County that forms part of the Greater Houston metropolitan region.
  • E. 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.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97ff0ddc8190acba9863bbe4f54b completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc67bea881908bfd8122e2a632f8 completed March 11, 2026, 5:23 a.m.
Created at: March 8, 2026, 2:55 p.m.