Triple

T14234074
Position Surface form Disambiguated ID Type / Status
Subject Coal State E352827 entity
Predicate appliesHistoricallyTo P58089 FINISHED
Object 19th century Pennsylvania 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: 19th century Pennsylvania | Statement: [Coal State, appliesHistoricallyTo, 19th century Pennsylvania]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesHistoricallyTo
Context triple: [Coal State, appliesHistoricallyTo, 19th century Pennsylvania]
  • A. appliedSince
    Indicates that a particular condition, rule, status, or action has been in effect starting from a specified point in time and continues from that date onward.
  • B. isHistoric
    Indicates that something has significant importance or relevance in history, often due to its age, impact, or role in past events.
  • C. hasHistoricity
    Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
  • D. hasHistoryIn
    Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
  • E. hasHistoryPeriod chosen
    Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62411c888190a154acd56fe3fcaf completed April 14, 2026, 3:50 p.m.
PD Predicate disambiguation batch_69de05bf069c8190b69f00f00f5eb126 completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:07 a.m.