Triple

T20747380
Position Surface form Disambiguated ID Type / Status
Subject Raja Ampat Islands E510620 entity
Predicate hasPart P35 FINISHED
Object Batanta 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: Batanta | Statement: [Raja Ampat Islands, hasPart, Batanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batanta
Context triple: [Raja Ampat Islands, hasPart, Batanta]
  • A. Batanta chosen
    Batanta is one of the main islands of Indonesia’s Raja Ampat (Papuan) archipelago, known for its rich marine biodiversity and lush, sparsely populated rainforest.
  • B. Batambal
    Batambal is a significant archaeological site associated with the pre-Columbian Diquís culture in southern Costa Rica, known for its ancient structures and stone spheres.
  • C. Kambalda
    Kambalda is a mining town in Western Australia known for its significant nickel deposits and location near Lake Lefroy.
  • D. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • E. Barbatona
    Barbatona is a small locality within the municipality of Sigüenza in the province of Guadalajara, Spain.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.