Triple

T20977951
Position Surface form Disambiguated ID Type / Status
Subject MIH Services E516675 entity
Predicate abbreviatedAs P43 FINISHED
Object MICS 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: MICS | Statement: [MIH Services, abbreviatedAs, MICS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MICS
Context triple: [MIH Services, abbreviatedAs, MICS]
  • A. MICS chosen
    MICS is a standardized media-independent command interface used in networking and communication systems to manage and control diverse underlying media technologies.
  • B. MICC
    MICC is an abbreviation for the Manchester International Convention Centre, a major venue in Manchester, England used for conferences, exhibitions, and large events.
  • C. MICC
    MICC is a major convention and exhibition complex in Naypyidaw, Myanmar, used for international conferences, governmental meetings, and large-scale events.
  • D. MiC
    MiC is the official abbreviation for Italy’s Ministry of Culture, the government body responsible for cultural heritage, arts, and related policies.
  • E. MCS
    MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba65b0881908bc00981053edb68 completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.