Triple

T7257543
Position Surface form Disambiguated ID Type / Status
Subject Sumba boobook E157759 entity
Predicate commonName P570 FINISHED
Object Sumba boobook E157759 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: Sumba boobook | Statement: [Sumba boobook, commonName, Sumba boobook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumba boobook
Context triple: [Sumba boobook, commonName, Sumba boobook]
  • A. Sumba boobook chosen
    The Sumba boobook is a small, nocturnal owl species found only on the Indonesian island of Sumba.
  • B. Sumba triller
    The Sumba triller is a bird species of cuckooshrike found only on the Indonesian island of Sumba.
  • C. Umbu Mehang Kunda
    Umbu Mehang Kunda was an Indonesian political figure from East Sumba, remembered as a prominent local leader whose name was given to the main airport on the island.
  • D. Sumba myzomela
    The Sumba myzomela is a small, nectar-feeding honeyeater bird species found only on the Indonesian island of Sumba.
  • E. Munukutuba
    Munukutuba is a widely used Bantu lingua franca of the Republic of the Congo and surrounding regions, serving as a major language of trade and interethnic communication.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa3d88081908f59ca5a85790290 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b541708190b66233813b167453 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.