Triple

T4274908
Position Surface form Disambiguated ID Type / Status
Subject Middle Village E97026 entity
Predicate servedBySubwayLine P17559 FINISHED
Object M E187451 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: M | Statement: [Middle Village, servedBySubwayLine, M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M
Context triple: [Middle Village, servedBySubwayLine, M]
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. M
    "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • C. M chosen
    M is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and connects Brooklyn and Queens.
  • D. M
    M is the New York Stock Exchange ticker symbol for Macy's, Inc., a major American department store chain.
  • E. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501c35688190a7d15d904f15f968 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b0b2ec819090ccf042917ae207 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.