Triple

T34865067
Position Surface form Disambiguated ID Type / Status
Subject Danish church province of Lund E1004986 entity
Predicate seatOfMetropolitan P181938 FINISHED
Object Lund Cathedral NE NERFINISHED

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: Lund Cathedral | Statement: [Danish church province of Lund, seatOfMetropolitan, Lund Cathedral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatOfMetropolitan
Context triple: [Danish church province of Lund, seatOfMetropolitan, Lund Cathedral]
  • A. seatOfMetropolitanArea
    Indicates that a place serves as the administrative or principal city (seat) of a specified metropolitan area.
  • B. governingBoroughSeat
    Indicates that one entity serves as the administrative seat or central governing location for a particular borough.
  • C. isMetropolitanOf
    Indicates that one entity is the primary metropolitan area or major urban center associated with another entity, such as a region, country, or administrative division.
  • D. metropolitanOf
    Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
  • E. alsoSeatOf
    Indicates that a location serves as an additional or alternative seat (e.g., of government, administration, or authority) alongside another primary seat.
  • 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_69f76dbb678081909a247b9b5e1a73ac completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782f4f10081908f97f6d0d2dbeec7 completed May 3, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69f780ff71cc8190a67e71076fbad81a completed May 3, 2026, 5:08 p.m.
PDg Predicate description generation batch_69f782f416c081908bdd9b1ad456f0e2 completed May 3, 2026, 5:16 p.m.
Created at: May 3, 2026, 4 p.m.