Triple

T34113088
Position Surface form Disambiguated ID Type / Status
Subject Maud Sampson E874888 entity
Predicate hasHistoricalSignificanceTo P92799 FINISHED
Object Texas NE NERFINISHED

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: Texas | Statement: [Maud Sampson, hasHistoricalSignificanceTo, Texas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalSignificanceTo
Context triple: [Maud Sampson, hasHistoricalSignificanceTo, Texas]
  • A. hasHistoricSignificanceFor chosen
    Indicates that something holds notable historical importance or relevance for a particular entity or group.
  • B. hasHistoricalSignificanceThrough
    Indicates that one entity possesses historical importance or relevance by means of, or as established through, its connection or association with another entity or event.
  • C. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • D. hasStateOfSignificance
    Indicates that something possesses a particular condition, status, or level that is considered important or meaningful in a given context.
  • E. hasPoliticalSignificanceAs
    Indicates that something holds a particular kind or role of political importance or relevance in relation to another entity or context.
  • 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_69f349a80d4481908527317d43f5c579 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69feff70fbec8190b1ff5f943f29613e completed May 9, 2026, 9:33 a.m.
PD Predicate disambiguation batch_69fefbcd5b7881909cfe52b32f8a4301 completed May 9, 2026, 9:18 a.m.
Created at: May 1, 2026, 1:53 a.m.