Triple

T6256430
Position Surface form Disambiguated ID Type / Status
Subject Rhenish Circle E140177 entity
Predicate hasCapitalOrMainSeat P21613 FINISHED
Object various imperial cities along the Rhine 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: various imperial cities along the Rhine | Statement: [Rhenish Circle, hasCapitalOrMainSeat, various imperial cities along the Rhine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCapitalOrMainSeat
Context triple: [Rhenish Circle, hasCapitalOrMainSeat, various imperial cities along the Rhine]
  • A. hasCapital
    Indicates that a place or political entity has a specific city designated as its capital.
  • B. hasSeatOfAdministration chosen
    Indicates that an administrative body or jurisdiction has a specific place or location that serves as its central seat of governance or administration.
  • C. mainSeatOf
    Indicates that one entity serves as the primary or central seat (e.g., of government, administration, or authority) for another entity.
  • D. isDistrictCapitalOf
    Indicates that a location serves as the administrative or governmental capital of a specified district.
  • E. capitalOftenLocatedIn
    Indicates that the capital city of a region or country is frequently, though not always, situated within a particular location or type of area.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063653910819095f1dc3b90ce77db completed March 22, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69c05605566c81908e197f5accd072d2 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:24 p.m.