Triple

T9641137
Position Surface form Disambiguated ID Type / Status
Subject Runway 10/28 E233068 entity
Predicate iataAirportCode P2569 FINISHED
Object GIG E209309 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: GIG | Statement: [Runway 10/28, iataAirportCode, GIG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GIG
Context triple: [Runway 10/28, iataAirportCode, GIG]
  • A. GIG chosen
    GIG is the IATA airport code for Rio de Janeiro–Galeão International Airport, the main international gateway serving Rio de Janeiro, Brazil.
  • B. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • C. GEM
    GEM (Graphics Environment Manager) is a graphical user interface and desktop environment developed by Digital Research in the 1980s, best known for bringing a Macintosh-like windowed interface to DOS-based personal computers and the Atari ST.
  • D. GEM
    GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
  • E. GIO
    GIO is a GLib-based input, output, and virtual file system library that provides high-level APIs for file handling, networking, and other I/O operations in GNOME and GTK applications.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b566a2881909ab3f9502b1c3c8d completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1824e68a0819089c8e6e414575c5f completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.