Triple

T18526738
Position Surface form Disambiguated ID Type / Status
Subject Lombok Island E452737 entity
Predicate hasMajorCity P316 FINISHED
Object Praya 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: Praya | Statement: [Lombok Island, hasMajorCity, Praya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Praya
Context triple: [Lombok Island, hasMajorCity, Praya]
  • A. Praya chosen
    Praya is a town on the island of Lombok in Indonesia that serves as the capital of Central Lombok Regency and a regional administrative and transportation hub.
  • B. Yaudheya
    Yaudheya is a relatively lesser-known figure in the Mahabharata tradition, remembered primarily as a son of the Pandava king Yudhishthira.
  • C. Upangas
    Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
  • D. Tusita
    Tusita is a heavenly realm in Buddhist cosmology where future Buddhas, including Maitreya, reside before their final rebirth.
  • E. Rishra
    Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53392618c8190b44de46b80ee6a6d completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.