Triple

T22920451
Position Surface form Disambiguated ID Type / Status
Subject Hotel Santa Isabel E568844 entity
Predicate checkInContext P78658 FINISHED
Object Europa-Park multi-day stays 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: Europa-Park multi-day stays | Statement: [Hotel Santa Isabel, checkInContext, Europa-Park multi-day stays]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: checkInContext
Context triple: [Hotel Santa Isabel, checkInContext, Europa-Park multi-day stays]
  • A. contextHolds chosen
    Indicates that a particular contextual condition or situation is valid and in effect for the related entities or statements.
  • B. isKnownInContextOf
    Indicates that an entity is recognized, relevant, or has significance specifically within a given context or domain.
  • C. requiresContext
    Indicates that the relationship or action cannot be properly understood or evaluated without additional surrounding information, conditions, or circumstances.
  • D. isRaisedInContextOf
    Indicates that an entity is brought up, discussed, or introduced within a particular situational, thematic, or conversational context.
  • E. implementedInContextOf
    Indicates that something (such as a method, feature, or process) is carried out or realized within a particular surrounding situation, framework, or set of conditions.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d40f98819096210c097b47d43b completed April 29, 2026, 3:53 a.m.
PD Predicate disambiguation batch_69ef3b7c5fc081909ac50c5c8569cc19 completed April 27, 2026, 10:33 a.m.
Created at: April 17, 2026, 3:42 p.m.