Triple

T15483574
Position Surface form Disambiguated ID Type / Status
Subject Sonsorol Islands E376982 entity
Predicate largestSettlement P163 FINISHED
Object Dongosaro E1158538 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: Dongosaro | Statement: [Sonsorol Islands, largestSettlement, Dongosaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongosaro
Context triple: [Sonsorol Islands, largestSettlement, Dongosaro]
  • A. Dongosaro chosen
    Dongosaro is the main inhabited village and administrative center of the Sonsorol Islands in the Republic of Palau.
  • B. Sarangapani
    Sarangapani is a revered form of the Hindu god Vishnu, worshipped primarily at the famous Sarangapani Temple in Kumbakonam, Tamil Nadu.
  • C. Warakurna
    Warakurna is a remote Indigenous community in Western Australia, located within the Shire of Ngaanyatjarraku near the border with the Northern Territory.
  • D. Sangod
    Sangod is a town in Rajasthan, India, situated within the Kota district and known for its role as a local agricultural and trading center.
  • E. Sangaride
    Sangaride is a mythological figure best known as the beloved of Atys in ancient legends and later operatic adaptations.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365b3980819094d3ca0b7766009c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:45 a.m.