Triple

T11158013
Position Surface form Disambiguated ID Type / Status
Subject Wingo E263961 entity
Predicate radioCallsign P1565 FINISHED
Object WINGO E263961 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: WINGO | Statement: [Wingo, radioCallsign, WINGO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WINGO
Context triple: [Wingo, radioCallsign, WINGO]
  • A. WINGO chosen
    WINGO is the radio callsign used by Wingo, a low-cost Colombian airline operating domestic and international flights in Latin America.
  • B. Wild Wing
    Wild Wing is the anthropomorphic duck mascot of the NHL's Anaheim Ducks, known for his energetic in-game antics and appearances at team events.
  • C. One Wing
    "One Wing" is an emotional R&B ballad by American singer Jordin Sparks that showcases her powerful vocals and explores themes of heartbreak and resilience.
  • D. Wild Wings
    Wild Wings is a professional ice hockey team based in Schwenningen, Germany, that competes in the country’s top-tier leagues.
  • E. Wing
    Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e87fe9a881909540ecc4ed9b6b9f completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4636268d0819088873f2062115506 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.