Triple

T21721345
Position Surface form Disambiguated ID Type / Status
Subject Terminal 1 (Adolfo Suárez Madrid–Barajas Airport) E536162 entity
Predicate IATAAirportCode P418 FINISHED
Object MAD 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: MAD | Statement: [Terminal 1 (Adolfo Suárez Madrid–Barajas Airport), IATAAirportCode, MAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MAD
Context triple: [Terminal 1 (Adolfo Suárez Madrid–Barajas Airport), IATAAirportCode, MAD]
  • A. MAD chosen
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • B. MAD
    MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
  • C. MAD
    MAD is a long-running American humor magazine famous for its satirical takes on popular culture, politics, and everyday life.
  • D. M.A.D.
    M.A.D. is the nefarious criminal organization led by the villain Dr. Claw in the animated series "Inspector Gadget."
  • E. U Mad
    "U Mad" is a hip-hop single by American rapper Vic Mensa featuring Kanye West, known for its aggressive energy and confrontational lyrics.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96f1fbc8190a202f834aec1a319 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.