Triple

T22240875
Position Surface form Disambiguated ID Type / Status
Subject Prichard E549717 entity
Predicate isNear P350 FINISHED
Object Mobile River NE NERFINISHED

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: Mobile River | Statement: [Prichard, isNear, Mobile River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobile River
Context triple: [Prichard, isNear, Mobile River]
  • A. Mobile River chosen
    The Mobile River is a major waterway in southwestern Alabama that flows into Mobile Bay and serves as an important channel for commerce and transportation.
  • B. But River
    The But River is a mountain river in northeastern Italy that flows through the Carnia region of Friuli and joins the Tagliamento River.
  • C. Native River
    Native River is a prominent British National Hunt racehorse best known for winning the 2018 Cheltenham Gold Cup and several other major staying chases.
  • D. Save River
    The Save River is a major waterway in southeastern Africa that flows through Zimbabwe and Mozambique before emptying into the Indian Ocean.
  • E. Save River
    The Save River is a watercourse in southwestern France that flows through the Gers department before joining the Garonne River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132140ed481909ab0d4022756a4ba completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.