Triple

T28166468
Position Surface form Disambiguated ID Type / Status
Subject former Great Mosque of Málaga E715338 entity
Predicate convertedAfterConquest P169579 FINISHED
Object Christian cathedral 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: Christian cathedral | Statement: [former Great Mosque of Málaga, convertedAfterConquest, Christian cathedral]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: convertedAfterConquest
Context triple: [former Great Mosque of Málaga, convertedAfterConquest, Christian cathedral]
  • A. afterConquest
    Indicates that one event, state, or condition occurs subsequent to and as a result of a conquest having taken place.
  • B. afterConquestBy
    Indicates that one entity exists in a state, condition, or situation that occurs subsequent to and as a result of being conquered by another entity.
  • C. afterConquestName
    Indicates that an entity’s name is the one it is known by after a conquest or successful takeover has occurred.
  • D. conqueredIn
    Indicates that one entity gained control over another entity or territory as a result of a specific conquest event or campaign.
  • E. realmConqueredBy
    Indicates that a particular realm or territory has been taken over and brought under the control of a specified conqueror.
  • 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_69efd6b340f0819095680e15dcdc1830 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f67fc237608190b6542b56038a7fe4 completed May 2, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69f67e3ed894819094c067c1ef624951 completed May 2, 2026, 10:44 p.m.
PDg Predicate description generation batch_69f67f0353c88190a05b2db449abe0f4 completed May 2, 2026, 10:47 p.m.
Created at: April 27, 2026, 10:10 p.m.