Triple

T23488457
Position Surface form Disambiguated ID Type / Status
Subject AGMUT cadre E570604 entity
Predicate hasAbbreviation P43 FINISHED
Object AGMUT 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: AGMUT | Statement: [AGMUT cadre, hasAbbreviation, AGMUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AGMUT
Context triple: [AGMUT cadre, hasAbbreviation, AGMUT]
  • A. AGMUT cadre chosen
    The AGMUT cadre is a unique All India Services cadre whose officers are allocated to serve across multiple Union Territories and select states such as Arunachal Pradesh, Goa, and Mizoram.
  • B. AGGM
    AGGM is the ICAO airport code for Munda Airport, a regional airfield serving Munda in the Solomon Islands.
  • C. AUGM
    AUGM is a regional network of public universities from South America that promotes academic cooperation, research collaboration, and integration among its member institutions.
  • D. AMCU
    AMCU is the Australian Defence Force’s modern combat uniform pattern designed to provide effective camouflage across a wide range of Australian environments.
  • E. AMM
    AMM is the standard abbreviation for the American Mathematical Monthly, a leading journal that publishes expository articles in mathematics.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7d9cc08819084c532b069f867ee completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:04 p.m.