Triple

T1190595
Position Surface form Disambiguated ID Type / Status
Subject Grand Prairie E25348 entity
Predicate borderedBy P224 FINISHED
Object Cedar Hill E23747 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: Cedar Hill | Statement: [Grand Prairie, borderedBy, Cedar Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedar Hill
Context triple: [Grand Prairie, borderedBy, Cedar Hill]
  • A. Cedar Hill chosen
    Cedar Hill is a suburban city in the Dallas–Fort Worth metropolitan area of Texas, known for its natural landscapes and proximity to Joe Pool Lake and Cedar Hill State Park.
  • B. Cedar Park
    Cedar Park is a residential neighborhood in West Philadelphia known for its historic Victorian homes, diverse community, and proximity to the University of Pennsylvania.
  • C. Bella Vista
    Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
  • D. The Woodlands
    The Woodlands is a master-planned community and census-designated place in the Houston metropolitan area of Texas, known for its extensive green spaces, residential neighborhoods, and commercial centers.
  • E. Woodside
    Woodside is a major Long Island Rail Road station in Queens, New York City, serving as a key transfer point between commuter rail lines and the New York City Subway.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd58d8d88190b8d9c9c9de7f4e97 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf15b1e08190a9c75bc7bc467197 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:45 p.m.