Triple

T13367800
Position Surface form Disambiguated ID Type / Status
Subject Aka-Bo language E318984 entity
Predicate countryOfficial P109648 FINISHED
Object not an official language of India 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: not an official language of India | Statement: [Aka-Bo language, countryOfficial, not an official language of India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfficial
Context triple: [Aka-Bo language, countryOfficial, not an official language of India]
  • A. countryOfficialUse
    Indicates that a country officially uses, recognizes, or adopts a particular entity (such as a language, currency, or symbol) in an official capacity.
  • B. associatedCountryOfficialName
    Indicates that an entity is linked to the official, formal name of a specific country with which it is associated.
  • C. representsCountryOfficialName
    Indicates that an entity is the official, legally recognized country name of another entity.
  • D. countryDeJure
    Indicates that one entity is the legally recognized (de jure) country having sovereignty or authority over another entity.
  • E. countryWithOfficialStatus
    Indicates that a country holds an official, legally recognized status in relation to the referenced entity.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69d9a02c9abc8190b328e7bae747bfc5 completed April 11, 2026, 1:13 a.m.
PDg Predicate description generation batch_69dadcce5a808190847f2a7833b67a5a completed April 11, 2026, 11:44 p.m.
Created at: April 9, 2026, 9:32 p.m.