Triple

T28962351
Position Surface form Disambiguated ID Type / Status
Subject Última E731935 entity
Predicate hasTitleScript P139796 FINISHED
Object Latin alphabet 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: Latin alphabet | Statement: [Última, hasTitleScript, Latin alphabet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTitleScript
Context triple: [Última, hasTitleScript, Latin alphabet]
  • A. hasTitleInScript chosen
    Indicates that an entity holds a specific title or name as written in a particular script or writing system.
  • B. hasTitleIn
    Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
  • C. hasTitleOver
    Indicates that one entity holds a formal title, rank, or designation in relation to another entity.
  • D. hasTitleOf
    Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
  • E. hasTitleType
    Indicates that an entity holds a specific kind or category of title (such as job title, honorific, or formal designation).
  • 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_69f043ee242c8190b063248b417c5a69 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f73ae120bc8190bff94d38d7a7a00d completed May 3, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69f73a38d0848190aa5139144b8561c6 completed May 3, 2026, 12:06 p.m.
Created at: April 28, 2026, 8:50 a.m.