Triple

T26680671
Position Surface form Disambiguated ID Type / Status
Subject Hulda E672600 entity
Predicate originCountryOrRegion P26 FINISHED
Object German-speaking countries 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: German-speaking countries | Statement: [Hulda, originCountryOrRegion, German-speaking countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originCountryOrRegion
Context triple: [Hulda, originCountryOrRegion, German-speaking countries]
  • A. organizationCountryOfOrigin
    Indicates the country where an organization was originally founded or established.
  • B. countryOfOrigin chosen
    Indicates the country from which an entity originally comes or was first produced, created, or established.
  • C. originalLocationCountry
    Indicates the country where an entity was originally located or from which it initially originated.
  • D. ownerCountry
    Indicates the country that has legal ownership or control over a given entity.
  • E. parentCountryOfOrigin
    Indicates that one country is the original source or homeland from which another country historically emerged or originated.
  • 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_69eecda13424819092b17942c4edf722 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69fd37b695c88190855801626f91c4cd completed May 8, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69fd374cccf08190a230e87164af5938 completed May 8, 2026, 1:07 a.m.
Created at: April 27, 2026, 3:19 a.m.