Triple

T11017872
Position Surface form Disambiguated ID Type / Status
Subject Grand Cross with Collar of the Order of the White Rose of Finland E260408 entity
Predicate awardingCountryType P96585 FINISHED
Object republic 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: republic | Statement: [Grand Cross with Collar of the Order of the White Rose of Finland, awardingCountryType, republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardingCountryType
Context triple: [Grand Cross with Collar of the Order of the White Rose of Finland, awardingCountryType, republic]
  • A. countryOfAwarding
    Indicates the country that officially granted or conferred a particular award, honor, or recognition.
  • B. continentOfAwardingCountry
    Indicates the continent on which the country that granted or issued the award is located.
  • C. appliesToAwardType
    Indicates that a rule, condition, or attribute is specifically relevant or applicable to a particular type or category of award.
  • D. designationCountry
    Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
  • E. eligibleCountry
    Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a7f4a881908232f99d18d95149 completed April 9, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69d72e995e008190bbffb314129ed0cd completed April 9, 2026, 4:44 a.m.
PDg Predicate description generation batch_69d732242fdc8190be77d1f730a42935 completed April 9, 2026, 4:59 a.m.
Created at: April 8, 2026, 9:25 p.m.