Triple

T2111789
Position Surface form Disambiguated ID Type / Status
Subject Crescent E42519 entity
Predicate servesCity P82 FINISHED
Object High Point E24500 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: High Point | Statement: [Crescent, servesCity, High Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Point
Context triple: [Crescent, servesCity, High Point]
  • A. High Point
    High Point is a mountain peak in northwestern New Jersey known for its scenic views and the High Point Monument within High Point State Park.
  • B. High Point
    High Point is a prominent summit in the Bull Run Mountains, known as one of the range’s higher elevations and a local hiking destination.
  • C. High Point, North Carolina chosen
    High Point, North Carolina is a mid-sized city best known as a major center of the U.S. furniture industry, located in the Piedmont Triad region of the state.
  • D. Rock Hill
    Rock Hill is a rapidly growing city in northern South Carolina known for its proximity to Charlotte, diverse economy, and strong sports and educational institutions.
  • E. Piedmont (North Carolina)
    Piedmont (North Carolina) is a central plateau region of the state characterized by rolling hills, major urban centers, and a mix of industrial, educational, and cultural hubs.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb0369a88190af02f0e4e05e2511 completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30721e1c8190869d577f58015141 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.