Triple

T33967640
Position Surface form Disambiguated ID Type / Status
Subject 2nd congressional district of Misamis Occidental E870897 entity
Predicate maximumConsecutiveTermsOfRepresentative P20633 FINISHED
Object 3 terms 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: 3 terms | Statement: [2nd congressional district of Misamis Occidental, maximumConsecutiveTermsOfRepresentative, 3 terms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumConsecutiveTermsOfRepresentative
Context triple: [2nd congressional district of Misamis Occidental, maximumConsecutiveTermsOfRepresentative, 3 terms]
  • A. maximumConsecutiveTerms chosen
    Indicates the greatest number of terms that can occur in an unbroken, continuous sequence within a given context or structure.
  • B. maximumTermCount
    Indicates the highest number of terms that are allowed or considered within a given context or operation.
  • C. maximumRepeaters
    Indicates the greatest number of repeaters that are allowed or observed within a given system, connection, or configuration.
  • D. constantRepresents
    Indicates that one entity is a constant that symbolically stands for or denotes another entity or value.
  • E. isLimitOfRatioOfConsecutiveTerms
    Indicates that one quantity is the limit of the ratio formed by dividing each term in a sequence by its immediately preceding term.
  • 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_69f3499ce8e88190b66e1d49ad8c7037 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: May 1, 2026, 1:50 a.m.