Triple

T281008
Position Surface form Disambiguated ID Type / Status
Subject E (New York City Subway service) E5353 entity
Predicate lineLetter P5539 FINISHED
Object E E5353 NE FINISHED

How this triple was built (3 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: E | Statement: [E (New York City Subway service), lineLetter, E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E
Context triple: [E (New York City Subway service), lineLetter, E]
  • A. E chosen
    The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
  • B. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • C. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • D. EW
    EW is the common abbreviation for Entertainment Weekly, a popular American magazine and website covering movies, television, music, books, and pop culture.
  • E. BE
    BE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Belgium in international standards and systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lineLetter
Context triple: [E (New York City Subway service), lineLetter, E]
  • A. letterSequence
    Indicates that one sequence of letters directly follows or is ordered in relation to another within a larger string or alphabetic arrangement.
  • B. hasLetterBy
    Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
  • C. firstLetter
    Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
  • D. hasLetterDesignation chosen
    Indicates that an entity is assigned or associated with a specific letter-based designation or code.
  • E. heightPerLetter
    Indicates the vertical size or height assigned to each individual letter in a text or font.
  • F. None of above.

Provenance (4 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25e0a23c0819083abee28b2dea49c completed Feb. 28, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69a394a407588190a1f52821fe3b5fc7 completed March 1, 2026, 1:21 a.m.
PD Predicate disambiguation batch_69a25b77e028819087e606fc321219f7 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.