Triple

T9058489
Position Surface form Disambiguated ID Type / Status
Subject Keep the Faith E217062 entity
Predicate notableSingle P3283 FINISHED
Object Dry County E774747 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: Dry County | Statement: [Keep the Faith, notableSingle, Dry County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dry County
Context triple: [Keep the Faith, notableSingle, Dry County]
  • A. Dry County chosen
    "Dry County" is an epic, blues-influenced rock ballad by Bon Jovi, noted for its storytelling lyrics about economic hardship and its extended guitar solos.
  • B. Canadian County
    Canadian County is a county in central Oklahoma that forms part of the Oklahoma City metropolitan area.
  • C. Esmeralda County
    Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
  • D. Shiping County
    Shiping County is an administrative county in southwestern China's Yunnan Province, located within the Honghe Hani and Yi Autonomous Prefecture.
  • E. Mosquito County
    Mosquito County was a large early 19th-century county in territorial Florida that once encompassed much of what is now central Florida before being renamed and subdivided.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec924f481908ca2eac98c68a41d completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0178be518819080bd6c8cf0a737e8 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:10 p.m.