Triple

T22513092
Position Surface form Disambiguated ID Type / Status
Subject Capuchin E556569 entity
Predicate abbreviation P43 FINISHED
Object OFMCap 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: OFMCap | Statement: [Capuchin, abbreviation, OFMCap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OFMCap
Context triple: [Capuchin, abbreviation, OFMCap]
  • A. OFMCap chosen
    OFMCap is the standard abbreviation for the Order of Friars Minor Capuchin, a Roman Catholic religious order of friars within the Franciscan family known for their simple lifestyle and missionary work.
  • B. OMX
    OMX is the stock ticker symbol for OfficeMax, a former American office supplies retail chain.
  • C. MPEG
    MPEG is a family of widely used digital audio and video compression standards developed by the Moving Picture Experts Group for efficient storage and transmission of multimedia content.
  • D. MPEG-4
    MPEG-4 is a multimedia compression and coding standard widely used for digital audio, video, and interactive media distribution over the internet and other networks.
  • E. MPEG-4 container format
    The MPEG-4 container format is a digital multimedia container standard used to store video, audio, subtitles, and other data in a single file, widely adopted for internet streaming and media distribution.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d62bea48190aaf34aa93bb3f67b completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.