Triple

T15935589
Position Surface form Disambiguated ID Type / Status
Subject Nagadeepa E386432 entity
Predicate alsoKnownAs P39 FINISHED
Object Nainativu E1185159 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: Nainativu | Statement: [Nagadeepa, alsoKnownAs, Nainativu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nainativu
Context triple: [Nagadeepa, alsoKnownAs, Nainativu]
  • A. Nainativu chosen
    Nainativu is a small island off the northern coast of Sri Lanka known as an important Hindu and Buddhist pilgrimage site.
  • B. Tahuata
    Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
  • C. Nayaulevu
    Nayaulevu is a coastal village located on Kadavu Island in Fiji, known for its traditional Fijian community and rural island lifestyle.
  • D. Nawuli
    Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
  • E. Arutua
    Arutua is a coral atoll in French Polynesia’s Tuamotu Archipelago, known for its lagoon, pearl farming, and traditional Polynesian community.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156aa33948190b2d5936d2db0071d completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3bfe72c819095f40a255bcd7ad5 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:53 a.m.