Triple

T14735324
Position Surface form Disambiguated ID Type / Status
Subject Deer Park, Texas E346189 entity
Predicate borderedBy P224 FINISHED
Object Pasadena, Texas E343325 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: Pasadena, Texas | Statement: [Deer Park, Texas, borderedBy, Pasadena, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasadena, Texas
Context triple: [Deer Park, Texas, borderedBy, Pasadena, Texas]
  • A. Pasadena, Texas chosen
    Pasadena, Texas is a large industrial and residential city in the Houston metropolitan area known for its petrochemical industry and proximity to the Houston Ship Channel.
  • B. Palo Alto, Texas
    Palo Alto, Texas is a historic site in southern Texas best known as the battlefield where the first major engagement of the Mexican–American War took place.
  • C. Pearland, Texas
    Pearland, Texas is a rapidly growing suburban city in the Houston metropolitan area known for its family-friendly neighborhoods and diverse community.
  • D. Portland, Texas
    Portland, Texas is a small coastal city in South Texas located across the bay from Corpus Christi, known for its waterfront views and proximity to industrial and port facilities.
  • E. St. Paul, Texas
    St. Paul, Texas is a small incorporated town in North Texas that forms part of the fast-growing Dallas–Fort Worth metropolitan area.
  • 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_69fe0ce6514c8190a37b023dcc0c1b1a completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:29 a.m.