Triple

T17843483
Position Surface form Disambiguated ID Type / Status
Subject Pachitea Province E445592 entity
Predicate hasSettlement P1068 FINISHED
Object Panao 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: Panao | Statement: [Pachitea Province, hasSettlement, Panao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panao
Context triple: [Pachitea Province, hasSettlement, Panao]
  • A. Panao chosen
    Panao is a small Andean town in central Peru known as an administrative and commercial center for the surrounding rural region.
  • B. Paniyan
    Paniyan is a Dravidian language spoken primarily by the Paniya tribal community in parts of southern India, especially in Kerala and neighboring regions.
  • C. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • D. Karapana
    Karapana is an indigenous Tucanoan language spoken by a small ethnic group in the northwestern Amazon region of Colombia and Brazil.
  • E. Pamaka
    Pamaka is an Eastern Maroon Creole language spoken primarily by the Pamaka people in eastern Suriname and neighboring French Guiana.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff8730881908cc8e1b572fa0af8 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.