Triple

T7443974
Position Surface form Disambiguated ID Type / Status
Subject Military Medal (United Kingdom) E171823 entity
Predicate postNominals P1610 FINISHED
Object MM E137756 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: MM | Statement: [Military Medal (United Kingdom), postNominals, MM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MM
Context triple: [Military Medal (United Kingdom), postNominals, MM]
  • A. MM chosen
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • B. 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.
  • C. MMZ
    MMZ is the ICAO airline designator assigned to EuroAtlantic Airways, a Portuguese charter and wet-lease carrier.
  • D. MMMY
    MMMY is the ICAO airport code for General Mariano Escobedo International Airport serving Monterrey, Mexico.
  • E. MMK
    MMK is the three-letter ISO 4217 currency code for the Myanmar kyat, the official currency of Myanmar.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36e9a588190b54b8bae181fc971 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827a1bdf48190a0bf217044fb05f8 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.