Triple

T22926062
Position Surface form Disambiguated ID Type / Status
Subject Sanford Dam E569308 entity
Predicate servesCity P82 FINISHED
Object Plainview, 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: Plainview, Texas | Statement: [Sanford Dam, servesCity, Plainview, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plainview, Texas
Context triple: [Sanford Dam, servesCity, Plainview, Texas]
  • A. Plainview
    Plainview is a barangay in Mandaluyong City, Metro Manila, known for its dense residential areas and proximity to major commercial and transport hubs.
  • B. Plainview
    Plainview is a fictional surname most prominently associated with characters in the film "There Will Be Blood," including oilman Daniel Plainview and his adopted son H. W. Plainview.
  • C. Plainview
    Plainview is a small rural city located in northeastern Nebraska in the United States.
  • D. Plainview chosen
    Plainview is a small city in northwestern Texas that serves as a regional agricultural and commercial center in the Texas Panhandle.
  • E. Mineola, Texas
    Mineola, Texas is a small East Texas city known as a regional hub for railroads, agriculture, and antique shopping.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.