Triple

T14841797
Position Surface form Disambiguated ID Type / Status
Subject Reach Falls E348981 entity
Predicate near P350 FINISHED
Object Manchioneal E334128 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: Manchioneal | Statement: [Reach Falls, near, Manchioneal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manchioneal
Context triple: [Reach Falls, near, Manchioneal]
  • A. Manchioneal chosen
    Manchioneal is a coastal village in eastern Jamaica known for its fishing community and proximity to natural attractions such as Reach Falls.
  • B. Manhoy
    Manhoy is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
  • C. Mancelona
    Mancelona is a small village in northern Michigan known for its rural character and proximity to outdoor recreation areas.
  • D. Valmalenco
    Valmalenco is an alpine valley in northern Italy renowned for its scenic mountain landscapes, hiking and skiing opportunities, and traditional Valtellina culture.
  • E. Montoni
    Montoni is the ruthless and manipulative Italian nobleman who serves as the primary antagonist in Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho."
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a9eb9481908ca509f484007cf6 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:53 a.m.