Triple

T8307084
Position Surface form Disambiguated ID Type / Status
Subject Highland E194488 entity
Predicate locatedNear P294 FINISHED
Object Colton E167706 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: Colton | Statement: [Highland, locatedNear, Colton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colton
Context triple: [Highland, locatedNear, Colton]
  • A. Colton chosen
    Colton is a small city in Southern California’s Inland Empire region, located within San Bernardino County.
  • B. Kolton Stewart
    Kolton Stewart is a Canadian actor and musician known for his roles in film and television, including appearances in fantasy and family-oriented productions.
  • C. Benjamin Keough
    Benjamin Keough was the son of Lisa Marie Presley and the grandson of Elvis Presley, known for his strong resemblance to his famous grandfather.
  • D. Jack Colton
    Jack Colton is a rugged, adventurous bird smuggler-turned-hero who helps romance novelist Joan Wilder navigate the Colombian jungle in the film "Romancing the Stone."
  • E. Jordan Dalton
    Jordan Dalton is the wife of NFL quarterback Andy Dalton and is known for her involvement in charitable and community initiatives alongside him.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2a86bc81909749c40c640aa9f8 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd955100448190862fd52d660585fd completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.