Triple

T15023828
Position Surface form Disambiguated ID Type / Status
Subject Sukkur Airport E378155 entity
Predicate IATA code P2569 FINISHED
Object SKZ E378155 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: SKZ | Statement: [Sukkur Airport, IATA code, SKZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKZ
Context triple: [Sukkur Airport, IATA code, SKZ]
  • A. SKZ chosen
    SKZ is the IATA airport code for Sukkur Airport, which serves the city of Sukkur in Pakistan.
  • B. SK
    SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
  • C. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • D. SK
    SK is the ISO 3166-1 alpha-2 country code for Slovakia, a landlocked Central European nation known for its mountains, castles, and membership in the European Union.
  • E. SK
    SK is the official vehicle registration code assigned to the Indian state of Sikkim.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7de117c8190a1b9fa8d1602057e completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5b0bbf4819082e14715bfd6003d completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:56 a.m.