Triple

T13453193
Position Surface form Disambiguated ID Type / Status
Subject Duke of Leuchtenberg E311161 entity
Predicate seatOrAssociation P29694 FINISHED
Object Eichstätt E680543 NE FINISHED

How this triple was built (3 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: Eichstätt | Statement: [Duke of Leuchtenberg, seatOrAssociation, Eichstätt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eichstätt
Context triple: [Duke of Leuchtenberg, seatOrAssociation, Eichstätt]
  • A. Eichstätt chosen
    Eichstätt is a historic Bavarian town in southern Germany known for its baroque architecture, Catholic university, and location within the Altmühltal Nature Park.
  • B. Rosenheim
    Rosenheim is a town in Upper Bavaria, Germany, known as a regional economic and transportation hub near the Alps.
  • C. Traunstein
    Traunstein is a town in southeastern Bavaria, Germany, known as a regional administrative and cultural center near the Chiemsee and the Alps.
  • D. Kaufbeuren
    Kaufbeuren is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and traditional Swabian culture.
  • E. Straubing
    Straubing is a Bavarian town on the Danube River known for its historic city center and role as a regional economic and educational hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatOrAssociation
Context triple: [Duke of Leuchtenberg, seatOrAssociation, Eichstätt]
  • A. seatTraditionallyAssociated
    Indicates that one entity is a seat or position that is customarily or historically linked with another entity, such as a role, office, or title.
  • B. seatIs
    Indicates that one entity functions as the seat or seating position of another entity.
  • C. seatOn
    Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
  • D. seatOrDomain chosen
    Indicates a relationship where something serves as, or is associated with, the primary location, base, or jurisdictional area (seat or domain) of an entity.
  • E. seatAgreementWith
    Indicates an arrangement or understanding by which one party provides or allocates seating to another under agreed terms.
  • F. None of above.

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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcbbf408190a87f471d2732148b completed May 9, 2026, 5:02 a.m.
PD Predicate disambiguation batch_69d9a03ce03481908c61094f0cc0c158 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:41 p.m.