Triple

T22346654
Position Surface form Disambiguated ID Type / Status
Subject Weno Island E552408 entity
Predicate airportICAO P419 FINISHED
Object PTKK E824961 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: PTKK | Statement: [Weno Island, airportICAO, PTKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PTKK
Context triple: [Weno Island, airportICAO, PTKK]
  • A. PTKK chosen
    PTKK is the ICAO airport code for Chuuk International Airport in the Federated States of Micronesia.
  • B. Institut Teknologi Sepuluh Nopember
    Institut Teknologi Sepuluh Nopember is a leading Indonesian public technological university renowned for its engineering and science programs.
  • C. Institut Teknologi Bandung
    Institut Teknologi Bandung is a leading Indonesian public university renowned for its strong programs in science, engineering, and technology.
  • D. Institut Teknologi Telkom Purwokerto
    Institut Teknologi Telkom Purwokerto is a technology-focused university in Indonesia affiliated with the Telkom education network, specializing in engineering, information technology, and related applied sciences.
  • E. PTK
    PTK is the Indian Railways station code for Pathankot Junction, a major railway hub in the northern Indian state of Punjab.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157981c0881909ac74d68b99075c2 completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad5337cb48190b717d997d367551a completed May 18, 2026, 9 a.m.
Created at: April 16, 2026, 8:43 p.m.