Triple

T20489272
Position Surface form Disambiguated ID Type / Status
Subject Babeldaob Island E502694 entity
Predicate contains P35 FINISHED
Object Ngaraard State 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: Ngaraard State | Statement: [Babeldaob Island, contains, Ngaraard State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngaraard State
Context triple: [Babeldaob Island, contains, Ngaraard State]
  • A. Ngaraard State chosen
    Ngaraard State is one of the states of Palau, located on the island of Babeldaob and known for its traditional villages and coastal landscapes.
  • B. Tharoch State
    Tharoch State was a small princely hill state in the Simla Hills region of colonial India, ruled by local chiefs under British suzerainty.
  • C. Ulwar State
    Ulwar State was a former princely state in British India, located in the region of present-day Rajasthan.
  • D. Kalsia State
    Kalsia State was a small princely state in colonial India located in the Cis-Sutlej region of present-day Punjab and Haryana.
  • E. Jaora State
    Jaora State was a princely state in British India, located in what is now Madhya Pradesh and ruled by a Muslim dynasty under British suzerainty.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5d93ec81908259696359090b35 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.