Triple

T4392813
Position Surface form Disambiguated ID Type / Status
Subject Old City of Bern E99404 entity
Predicate hasProtectionRegime P15826 FINISHED
Object Swiss federal heritage protection 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: Swiss federal heritage protection | Statement: [Old City of Bern, hasProtectionRegime, Swiss federal heritage protection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProtectionRegime
Context triple: [Old City of Bern, hasProtectionRegime, Swiss federal heritage protection]
  • A. isProtectedFor
    Indicates that one entity is safeguarded or preserved specifically for the benefit, use, or rights of another entity.
  • B. isProtectedBy
    Indicates that one entity provides protection, defense, or safeguarding for another entity.
  • C. hasProtectedAreaStatus
    Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
  • D. protectionType chosen
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • E. isProtectedFrom
    Indicates that one entity is safeguarded or shielded against harm, damage, or adverse effects caused by another entity or factor.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a8862481909dc67abf42be6928 completed March 12, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69b34f572efc8190bad1e5078cbcb75a completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:19 p.m.