Triple

T12080807
Position Surface form Disambiguated ID Type / Status
Subject Del Norte International Airport E287671 entity
Predicate icaoCode P419 FINISHED
Object MMAN E287671 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: MMAN | Statement: [Del Norte International Airport, icaoCode, MMAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MMAN
Context triple: [Del Norte International Airport, icaoCode, MMAN]
  • A. MMAN chosen
    MMAN is the ICAO airport code for Del Norte International Airport in Monterrey, Mexico.
  • B. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • C. MANN
    MANN is a major Italian archaeological museum in Naples renowned for its extensive collections of Greek, Roman, and particularly Pompeian antiquities.
  • D. GMMN
    GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
  • E. MMM
    MMM is a post-nominal designation signifying membership in the Order of Military Merit, a Canadian honor recognizing exceptional service and devotion by members of the Canadian Armed Forces.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904dc98a88190a5873f3fd8e1a0b2 completed April 10, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6b2d788190975275d713c26a4e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.