Triple

T5593860
Position Surface form Disambiguated ID Type / Status
Subject California Points of Historical Interest E146946 entity
Predicate differsBy P61682 FINISHED
Object emphasis on local rather than statewide significance 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: emphasis on local rather than statewide significance | Statement: [California Points of Historical Interest, differsBy, emphasis on local rather than statewide significance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: differsBy
Context triple: [California Points of Historical Interest, differsBy, emphasis on local rather than statewide significance]
  • A. differIn chosen
    Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
  • B. isDistinctFrom
    Indicates that two entities are not identical and can be clearly distinguished from one another.
  • C. hasLexicalDifferencesWith
    Indicates that two linguistic items differ from each other in their word choice or lexical form.
  • D. mayDifferFrom
    Indicates that one entity is allowed or expected to be different from another entity, without requiring them to be identical.
  • E. differenceFromStates
    Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020bc41408190bc990da8ddeb931e completed March 22, 2026, 5:02 p.m.
PD Predicate disambiguation batch_69c01b16b9bc8190ab0b945507d90e05 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:38 p.m.