Triple

T28700690
Position Surface form Disambiguated ID Type / Status
Subject Embassy of Spain in Mongolia E729541 entity
Predicate officialLanguageOfHostState P195078 FINISHED
Object Mongolian 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: Mongolian | Statement: [Embassy of Spain in Mongolia, officialLanguageOfHostState, Mongolian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageOfHostState
Context triple: [Embassy of Spain in Mongolia, officialLanguageOfHostState, Mongolian]
  • A. officialLanguageOfSendingState
    Indicates that a particular language is the designated official language used by the state that is sending a representative, document, or communication.
  • B. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • C. officialLanguageAtFederalLevel
    Indicates that a language holds official status specifically at the federal (national) level of a country’s government.
  • D. hasLanguageOfficial
    Indicates that a language holds official status within a given entity, such as a country, region, or organization.
  • E. usesOfficialLanguageOf
    Indicates that one entity adopts and employs the official language of another entity for communication or formal purposes.
  • 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_69f043e6e9688190b6bdd6e5665498ff completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69fda5003cdc8190a558501271389912 completed May 8, 2026, 8:55 a.m.
PD Predicate disambiguation batch_69fda05bfc2c819096821a5300e9bb24 completed May 8, 2026, 8:35 a.m.
PDg Predicate description generation batch_69fda4fe67a08190bdaa84ceabd6de6c completed May 8, 2026, 8:55 a.m.
Created at: April 28, 2026, 5:42 a.m.