Triple

T32796870
Position Surface form Disambiguated ID Type / Status
Subject William M’Intosh E838789 entity
Predicate areaOfSignificance P110231 FINISHED
Object American property law 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: American property law | Statement: [William M’Intosh, areaOfSignificance, American property law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areaOfSignificance
Context triple: [William M’Intosh, areaOfSignificance, American property law]
  • A. significanceArea chosen
    Indicates that a specified area holds particular importance, relevance, or impact within a given context or system.
  • B. hasRegionalSignificance
    Indicates that something holds particular importance, influence, or relevance within a specific geographic region.
  • C. loreSignificance
    Indicates that something holds notable importance, relevance, or impact within a fictional world’s backstory, mythology, or overarching narrative.
  • D. cityWideSignificance
    Indicates that something has importance, impact, or relevance at the scale of an entire city rather than just a local or individual level.
  • E. hasTerritorialSignificance
    Indicates that something holds importance, influence, or relevance specifically in relation to a particular geographic area or territory.
  • 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_69f3493c7f6881908edf2aa13631d1e0 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce6d659881909ddcec1d2966e020 completed May 3, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:14 a.m.