Triple

T38444
Position Surface form Disambiguated ID Type / Status
Subject MBTA Red Line E761 entity
Predicate character P662 FINISHED
Object underground and at-grade and elevated LITERAL 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: underground and at-grade and elevated | Statement: [MBTA Red Line, character, underground and at-grade and elevated]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: character
Context triple: [MBTA Red Line, character, underground and at-grade and elevated]
  • A. characterBasedOn
    Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
  • B. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • C. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • D. spokenBy
    Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
  • E. roleInTheology
    Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
  • F. None of above.

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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24b4d5bd08190a3a48eb26e67768c completed Feb. 28, 2026, 1:56 a.m.
PD Predicate disambiguation batch_69a24ab6141881908701106aa97e4735 completed Feb. 28, 2026, 1:53 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.