Triple

T24669783
Position Surface form Disambiguated ID Type / Status
Subject Pitu Ulunna Salu languages E610795 entity
Predicate isoScope P156948 FINISHED
Object multiple individual languages 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: multiple individual languages | Statement: [Pitu Ulunna Salu languages, isoScope, multiple individual languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isoScope
Context triple: [Pitu Ulunna Salu languages, isoScope, multiple individual languages]
  • A. isoRangeNative
    Indicates that two values fall within the same native ISO-defined range or interval, according to the system’s inherent ISO-based scale or categorization.
  • B. isSeeOf
    Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
  • C. scopeOption
    Indicates that one entity specifies or constrains the range, extent, or applicability (scope) of another entity as an available option or setting.
  • D. impactScope
    Indicates the extent or range within which an action, event, or entity produces effects or consequences.
  • E. scopeType
    Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
  • F. None of above. chosen

Provenance (4 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_69e2c4d505cc8190981881df06c0bf52 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f41011d8048190be70329ba0bfb7c7 completed May 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69f40ed9d47881909fcfc0d04e8d074a completed May 1, 2026, 2:24 a.m.
PDg Predicate description generation batch_69f41010f06c81908ee7f773220df14f completed May 1, 2026, 2:29 a.m.
Created at: April 18, 2026, 2:42 a.m.