Triple

T17210152
Position Surface form Disambiguated ID Type / Status
Subject Shahhat E417705 entity
Predicate locatedInCountryGovernmentType P66248 FINISHED
Object unitary provisional government (Libya) 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: unitary provisional government (Libya) | Statement: [Shahhat, locatedInCountryGovernmentType, unitary provisional government (Libya)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInCountryGovernmentType
Context triple: [Shahhat, locatedInCountryGovernmentType, unitary provisional government (Libya)]
  • A. hasGovernmentTypeCountry chosen
    Indicates that a country possesses or is characterized by a particular form or type of government.
  • B. targetCountryGovernment
    Indicates that a government is the primary focus or object of an action, policy, or relationship directed toward a specific country.
  • C. basedInGovernmentType
    Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
  • D. countryGoverningBody
    Indicates that a particular governing body holds official authority over and administers a specific country.
  • E. locatedInGovernmentBody
    Indicates that an entity is situated within, or is part of, a specific governmental body or institution.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc4792081909443df7937768ede completed April 19, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e3831e354881908c5505ffd15c84e9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:38 a.m.