Triple

T2042104
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Governor of Texas E44767 entity
Predicate orderInSuccession P656 FINISHED
Object first in line to succeed the Governor of Texas 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: first in line to succeed the Governor of Texas | Statement: [Lieutenant Governor of Texas, orderInSuccession, first in line to succeed the Governor of Texas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orderInSuccession
Context triple: [Lieutenant Governor of Texas, orderInSuccession, first in line to succeed the Governor of Texas]
  • A. successionOrder chosen
    Indicates the ordered sequence in which entities are designated to succeed or take over a role, position, or title.
  • B. subsequentOrder
    Indicates that one order occurs after or follows another order in sequence.
  • C. establishedInOrder
    Indicates that one entity was created, founded, or formally set up as a result of, or in accordance with, a specific order, directive, or mandate.
  • D. successorInPractice
    Indicates that one entity has taken over the role, position, or function of another in actual practice, even if not formally or officially designated as its successor.
  • E. successionPattern
    Indicates the characteristic way in which one entity follows, replaces, or is ordered after another in a sequence or succession.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abbc2c3f6c8190aff07097b2654e52 completed March 7, 2026, 5:48 a.m.
PD Predicate disambiguation batch_69abb7aa00d4819086d347d9a08f81a0 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:39 p.m.