Triple

T9871023
Position Surface form Disambiguated ID Type / Status
Subject Mission Valley E239955 entity
Predicate adjacentTo P224 FINISHED
Object Grantville E466689 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: Grantville | Statement: [Mission Valley, adjacentTo, Grantville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grantville
Context triple: [Mission Valley, adjacentTo, Grantville]
  • A. Grantville chosen
    Grantville is a small city in western Georgia, United States, known for its historic downtown and use as a filming location for movies and television shows.
  • B. Greer
    Greer is a small city in South Carolina known for its historic downtown, proximity to both Greenville and Spartanburg, and its role as a regional industrial and transportation hub.
  • C. Greer
    Greer is a surname most notably associated with Hal Greer, a Hall of Fame American basketball player.
  • D. Bergville
    Bergville is a small town in KwaZulu-Natal, South Africa, serving as a gateway to the northern Drakensberg mountain region.
  • E. Graydon
    Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d62628819094786a49b9bcd09b completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e468630c81908d5c72f70e2c6fe4 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:36 p.m.