Triple

T9185115
Position Surface form Disambiguated ID Type / Status
Subject Powell & Market cable car turnaround E220436 entity
Predicate hasManualLabor P86706 FINISHED
Object cable car gripmen and conductors turning cars — 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: cable car gripmen and conductors turning cars | Statement: [Powell & Market cable car turnaround, hasManualLabor, cable car gripmen and conductors turning cars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasManualLabor
Context triple: [Powell & Market cable car turnaround, hasManualLabor, cable car gripmen and conductors turning cars]
  • A. hasManual
    Indicates that an entity is associated with a manual that provides instructions or documentation for it.
  • B. hasInmateLabor
    Indicates that an entity utilizes or is associated with labor performed by incarcerated individuals.
  • C. labourOf
    Indicates that one entity is the work, effort, or labor performed or contributed by another entity.
  • D. materialWorked
    Indicates that an agent performs work or processing on a specified material.
  • E. constructionLabor
    Indicates a relationship where an entity performs or provides labor specifically for construction-related work or projects.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc318d5c081908c50b56e5783ea38 completed April 1, 2026, 7:02 a.m.
PD Predicate disambiguation batch_69cc66090e5881908889dc1213815626 completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc66d7bf648190b8bff5b584b84975 completed April 1, 2026, 12:29 a.m.
Created at: March 30, 2026, 7:24 p.m.