Triple

T20166350
Position Surface form Disambiguated ID Type / Status
Subject Impa E491832 entity
Predicate relative P37 FINISHED
Object Paya 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: Paya | Statement: [Impa, relative, Paya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paya
Context triple: [Impa, relative, Paya]
  • A. Paya
    Paya is a small settlement located within Panama’s Darién Province, known for its remote jungle environment and proximity to the Darién Gap.
  • B. La Paya
    La Paya is an important pre-Columbian archaeological site in northwest Argentina associated with the Calchaquí culture, known for its extensive ruins and artifacts.
  • C. Parikia
    Parikia is the main port town and administrative center of the Greek island of Paros, known for its traditional Cycladic architecture and historic sites.
  • D. Penange
    Penange is a lesser-known Dogon language spoken by the Dogon people of Mali in West Africa.
  • E. Ko Payan
    Ko Payan is one of the smaller islands within Thailand’s Similan Islands archipelago, known for its clear waters, coral reefs, and rich marine life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66844e49081909b7e9ec2b65cc61d completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.