Triple

T16847392
Position Surface form Disambiguated ID Type / Status
Subject Gisborne Airport E409578 entity
Predicate hasCode P9567 FINISHED
Object GIS E1236135 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: GIS | Statement: [Gisborne Airport, hasCode, GIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GIS
Context triple: [Gisborne Airport, hasCode, GIS]
  • A. GIS
    The Egyptian General Intelligence Service (GIS) is Egypt’s primary intelligence agency responsible for foreign intelligence gathering, national security, and covert operations.
  • B. GIS
    GIS (Gruppo di Intervento Speciale) is an elite special operations unit of the Italian Carabinieri focused on counter-terrorism, hostage rescue, and high-risk law enforcement missions.
  • C. GIS
    GIS is the Ghana Immigration Service, the government agency responsible for regulating immigration, emigration, and related border control activities in Ghana.
  • D. GIS
    GIS is the station code for Glen Innes railway station in New South Wales, Australia.
  • E. GIS chosen
    GIS is the IATA airport code for Gisborne Airport in Gisborne, New Zealand.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b376bac48190ae09f29a28c55f8c completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a4c2a881908d2797f6e61792d3 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.