Triple

T1788301
Position Surface form Disambiguated ID Type / Status
Subject Silves E39437 entity
Predicate wasImportantAs P24496 FINISHED
Object Islamic cultural center in al-Andalus 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: Islamic cultural center in al-Andalus | Statement: [Silves, wasImportantAs, Islamic cultural center in al-Andalus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasImportantAs
Context triple: [Silves, wasImportantAs, Islamic cultural center in al-Andalus]
  • A. isImportantFor
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • B. hasNationalImportance
    Indicates that something possesses significance or relevance at the level of an entire nation, rather than just local or regional importance.
  • C. importantSaint
    Indicates that the subject is recognized as a particularly significant or highly revered saint within a religious or spiritual tradition.
  • D. wasProminentIn chosen
    Indicates that an entity was notably active, influential, or widely recognized within a particular field, context, or time period.
  • E. hasPoliticalSignificanceFor
    Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab75457e54819096b8c6ae8c65550c completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61d165688190924962a98e07ff69 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.