Triple

T7840773
Position Surface form Disambiguated ID Type / Status
Subject Kediri E181796 entity
Predicate roadConnection P385 FINISHED
Object Blitar E154482 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: Blitar | Statement: [Kediri, roadConnection, Blitar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blitar
Context triple: [Kediri, roadConnection, Blitar]
  • A. Blitar chosen
    Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • B. Tuban
    Tuban is a coastal town and regency capital in northern East Java, Indonesia, known historically as a trading port and for its cultural and religious heritage sites.
  • C. Banyuwangi
    Banyuwangi is a coastal city at the eastern tip of Java, Indonesia, known as a gateway to the Ijen Crater and Bali and for its rich Osing culture.
  • D. Citeureup
    Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
  • E. Sumenep
    Sumenep is a historic coastal town and regency capital on the eastern end of Madura Island in Indonesia, known for its royal palace, traditional culture, and salt production.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aca5e348190bb73fc4748093248 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.