Triple

T12597509
Position Surface form Disambiguated ID Type / Status
Subject MBS E300769 entity
Predicate abbreviation P43 FINISHED
Object MBS unclear NED1 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: MBS | Statement: [MBS, abbreviation, MBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBS
Context triple: [MBS, abbreviation, MBS]
  • A. MBS
    MBS is an abbreviation commonly used for the Mutual Broadcasting System, a historic American radio network that operated from the 1930s to the 1990s.
  • B. MBS
    MBS is a Japanese television network that has broadcast popular anime series such as Fullmetal Alchemist.
  • C. MBSJ
    MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
  • D. MBSY
    MBSY is the ICAO airport code for the small airport serving Salt Cay in the Turks and Caicos Islands.
  • E. MSB
    MSB is the Turkish Ministry of National Defence, the government body responsible for overseeing Turkey’s armed forces and national defense policy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cf33b88190bff339fcd3142cc8 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec75fc08190aa13cbb0161eb35c completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.