Triple

T18526841
Position Surface form Disambiguated ID Type / Status
Subject East Lombok Regency E452740 entity
Predicate seat P75 FINISHED
Object Selong 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: Selong | Statement: [East Lombok Regency, seat, Selong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selong
Context triple: [East Lombok Regency, seat, Selong]
  • A. Selong chosen
    Selong is the main urban and administrative center of East Lombok Regency on the island of Lombok in Indonesia.
  • B. Tangkuban Perahu
    Tangkuban Perahu is a popular stratovolcano in West Java, Indonesia, known for its distinctive boat-like shape and easily accessible craters.
  • C. Sembalun
    Sembalun is a village in East Lombok, Indonesia, known as a primary gateway and starting point for treks up Mount Rinjani.
  • D. Gunung Sindur
    Gunung Sindur is a district in Bogor Regency, West Java, Indonesia, known for its rapidly growing suburban residential areas and proximity to Greater Jakarta.
  • E. Kintamani
    Kintamani is a highland region in Bali, Indonesia, known for its cool climate, scenic views of volcanic landscapes, and traditional Balinese villages.
  • 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.