Triple

T14021995
Position Surface form Disambiguated ID Type / Status
Subject UJE E337356 entity
Predicate IATAcodeFor P2569 FINISHED
Object Ujae Airport E343814 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: Ujae Airport | Statement: [UJE, IATAcodeFor, Ujae Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ujae Airport
Context triple: [UJE, IATAcodeFor, Ujae Airport]
  • A. Ujae Airport chosen
    Ujae Airport is a small public airstrip serving the remote Ujae Atoll in the Marshall Islands, providing essential air transport for local residents and supplies.
  • B. Makung Airport
    Makung Airport is a regional airport serving the Penghu Islands in Taiwan, providing domestic flights that connect the archipelago with major cities on the Taiwanese mainland.
  • C. Talcha Airport
    Talcha Airport is a small domestic airport in western Nepal that serves as the primary air gateway to the remote Rara Lake region and Rara National Park.
  • D. Sado Airport
    Sado Airport is a regional airport serving Sado Island in Niigata Prefecture, Japan, providing domestic air connections to the mainland.
  • E. Gunsan Airport
    Gunsan Airport is a regional airport in Gunsan, South Korea, serving both civilian flights and military operations.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3d87b88190b038d334f4965369 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32f78dc8190bd357d179cbaa5bc completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.