Triple

T19528176
Position Surface form Disambiguated ID Type / Status
Subject Annweiler am Trifels E488586 entity
Predicate nearbyCastleFunction P136652 FINISHED
Object storage place of Imperial Regalia at Trifels Castle 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: storage place of Imperial Regalia at Trifels Castle | Statement: [Annweiler am Trifels, nearbyCastleFunction, storage place of Imperial Regalia at Trifels Castle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyCastleFunction
Context triple: [Annweiler am Trifels, nearbyCastleFunction, storage place of Imperial Regalia at Trifels Castle]
  • A. nearbyCastle
    Indicates that one entity is located close to or within a short distance of a castle.
  • B. hasNearbyTown
    Indicates that one location has a town situated close to it in geographic proximity.
  • C. hasNearbyCityFunction
    Indicates that one entity serves as a nearby urban center or city-like service hub for another entity.
  • D. hasNearbyRoyalResidence
    Indicates that one entity has a royal residence located in close physical proximity to it.
  • E. hasNearbyCivicBuilding
    Indicates that one entity is located close to, or in the immediate vicinity of, a civic building such as a government, public service, or community facility.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363d43148190af25caaa57accf9b completed April 20, 2026, 2:20 p.m.
PD Predicate disambiguation batch_69e514c9c00481909b76bda67957e58b completed April 19, 2026, 5:45 p.m.
PDg Predicate description generation batch_69e51a23300c8190988552491d9783d7 completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 1:41 p.m.