Triple

T13818884
Position Surface form Disambiguated ID Type / Status
Subject Aljamiado E332086 entity
Predicate associatedWith P37 FINISHED
Object Mudejars E949252 NE 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: Mudejars | Statement: [Aljamiado, associatedWith, Mudejars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mudejars
Context triple: [Aljamiado, associatedWith, Mudejars]
  • A. Mouriscas
    Mouriscas is a civil parish in the municipality of Abrantes, located in central Portugal.
  • B. Albayzín
    Albayzín is the historic Moorish quarter of Granada, Spain, known for its narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
  • C. Mazarati
    Mazarati was a mid-1980s funk and R&B band from the Prince-associated Minneapolis music scene, best known for their connection to The Revolution’s BrownMark and the original version of “Kiss.”
  • D. Madarihat
    Madarihat is a small town in West Bengal, India, known primarily as the main gateway and service hub for visitors to Jaldapara National Park.
  • E. Muladis chosen
    Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e1fbec8190bab64357f8c5438f completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.