Triple

T20980740
Position Surface form Disambiguated ID Type / Status
Subject Arendal Station E516752 entity
Predicate hasIATACode P2569 FINISHED
Object XGD 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: XGD | Statement: [Arendal Station, hasIATACode, XGD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XGD
Context triple: [Arendal Station, hasIATACode, XGD]
  • A. XGD chosen
    XGD is the IATA airport code assigned to Arendal Station in Norway, used for travel and ticketing purposes.
  • B. XU
    XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • C. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • D. XQ
    XQ is the IATA airline designator used for SunExpress, a Turkish-German leisure airline.
  • E. XQ
    XQ is an education-focused organization dedicated to reimagining and transforming American high schools through innovation and community-driven initiatives.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbdd89f48190b58c67cc1f7968c0 completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.