Triple

T19428954
Position Surface form Disambiguated ID Type / Status
Subject Lankapati E486058 entity
Predicate patiMeans P80782 FINISHED
Object lord 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: lord | Statement: [Lankapati, patiMeans, lord]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: patiMeans
Context triple: [Lankapati, patiMeans, lord]
  • A. ParthaMeans
    Indicates that one entity serves as the meaning, definition, or semantic interpretation of another entity.
  • B. meaningViaPatricia
    Indicates that something’s meaning, interpretation, or understanding is conveyed, mediated, or determined through an intermediary named Patricia.
  • C. oniMeaning chosen
    Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
  • D. patroonOf
    Indicates a relationship in which one entity acts as a patron, sponsor, or protector providing support or resources to another entity.
  • E. hasPartitiveMeaning
    Indicates that the relationship expresses a partitive meaning, where one entity denotes a part or subset of the quantity, mass, or collection represented by another entity.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321b78d08190b86cef7c60cbb61c completed April 20, 2026, 2:03 p.m.
PD Predicate disambiguation batch_69e4fd6e806081909053f325ba01ab6b completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:37 p.m.