Triple

T3688507
Position Surface form Disambiguated ID Type / Status
Subject Hollywood/Western station E78282 entity
Predicate faregates P50326 FINISHED
Object yes 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: yes | Statement: [Hollywood/Western station, faregates, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: faregates
Context triple: [Hollywood/Western station, faregates, yes]
  • A. faregatesType
    Indicates the type or category of faregates used for access control in a transit or similar system.
  • B. fare
    Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
  • C. navalAccess
    Indicates that one entity has the right or ability to use another entity’s naval facilities, waters, or maritime routes for military or strategic purposes.
  • D. porte
    Indicates that an entity carries, wears, or bears another entity (such as an object, attribute, or characteristic).
  • E. navalFleet
    Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
  • F. None of above. chosen

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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c960788190b73ede08658846aa completed March 8, 2026, 6:49 p.m.
PD Predicate disambiguation batch_69adb84be1fc81909721c871babb4633 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb97cdb788190a5ce96b21bd157ab completed March 8, 2026, 6:01 p.m.
Created at: March 8, 2026, 3:26 p.m.