Triple

T9332420
Position Surface form Disambiguated ID Type / Status
Subject The Bod E224554 entity
Predicate primaryLanguageOfCataloguing P87558 FINISHED
Object English — 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: English | Statement: [The Bod, primaryLanguageOfCataloguing, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfCataloguing
Context triple: [The Bod, primaryLanguageOfCataloguing, English]
  • A. primaryLanguageOf
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • B. primaryLanguageContact
    Indicates that one language serves as the main or dominant medium of communication in a particular contact situation between language communities.
  • C. primaryLanguageMarket
    Indicates that a particular language is the main or dominant language used within a given market or market segment.
  • D. primaryLanguageSide1
    Indicates that the specified language is the main or dominant language associated with the first participant or side in a relationship.
  • E. primaryLexifierLanguage
    Indicates the main source language from which the core vocabulary and structure of another language, typically a contact or creole language, are primarily derived.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37afceb88190ad7ffbc7b47a1caa completed April 1, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69cc7a643924819097f01144734901cf completed April 1, 2026, 1:52 a.m.
PDg Predicate description generation batch_69cc94b796788190816b71b1e9996288 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 7:39 p.m.