Triple

T9416101
Position Surface form Disambiguated ID Type / Status
Subject Lingga Islands E227023 entity
Predicate capital P234 FINISHED
Object Daik E642755 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: Daik | Statement: [Lingga Islands, capital, Daik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daik
Context triple: [Lingga Islands, capital, Daik]
  • A. Daik chosen
    Daik is a historic town on Lingga Island in Indonesia that once served as the political and cultural center of the Riau-Lingga Sultanate.
  • B. Daikoku
    Daikoku is a prominent Japanese deity of wealth, agriculture, and household prosperity, often depicted with a mallet and rice bales and revered as one of the Seven Lucky Gods.
  • C. Dai
    Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
  • D. Dai
    The Dai are an ethnic group in southern China and Southeast Asia, culturally related to the Thai and Lao peoples and known for their Theravada Buddhist traditions, distinctive festivals, and stilted wooden houses.
  • E. Daisi
    Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c9917481909f793a2a9efb2a75 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107baad74819090a746c06feb28ac completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.