Triple

T19930300
Position Surface form Disambiguated ID Type / Status
Subject Teatro del Mondo E479032 entity
Predicate existenceType P84858 FINISHED
Object temporary installation 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: temporary installation | Statement: [Teatro del Mondo, existenceType, temporary installation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: existenceType
Context triple: [Teatro del Mondo, existenceType, temporary installation]
  • A. existsAs
    Indicates that one entity has the same identity or manifestation as another, effectively asserting they are the same existing thing or state.
  • B. existsOnlyAs chosen
    Indicates that the subject exists solely in a particular form, state, or context specified by the object, and not in any other.
  • C. existsFor
    Indicates that something is present, available, or holds true for a particular entity, context, or condition.
  • D. existsPrimarilyAs
    Indicates that one entity’s main or fundamental mode of being or manifestation is in the form of another specified entity or state.
  • E. hasExistentiale
    Indicates that an entity possesses or is associated with an existential characteristic, condition, or mode of being.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a13265c8190bc01d3af5bd658d7 completed April 20, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69e537f070b481908958e0e5911dcdc1 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:53 p.m.