Triple

T33432237
Position Surface form Disambiguated ID Type / Status
Subject Sultan of Granada E856159 entity
Predicate positionHeldBy P8 FINISHED
Object Muhammad III of Granada
Muhammad III of Granada was a Nasrid ruler who governed the Emirate of Granada in the early 14th century during the late period of Muslim rule in the Iberian Peninsula.
E2071319 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: Muhammad III of Granada | Statement: [Sultan of Granada, positionHeldBy, Muhammad III of Granada]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Muhammad III of Granada
Triple: [Sultan of Granada, positionHeldBy, Muhammad III of Granada]
Generated description
Muhammad III of Granada was a Nasrid ruler who governed the Emirate of Granada in the early 14th century during the late period of Muslim rule in the Iberian Peninsula.

Provenance (5 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_69f349709e7881908c342b4d34f555f4 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e481b2308190b7959dcf7472834b completed May 3, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3675faaa9c8190a593f7b0bd630bfc completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676e442208190b316373c4b23df03 completed June 20, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3677b8a3748190895cb5ccd2f90f6b completed June 20, 2026, 11:21 a.m.
Created at: May 1, 2026, 1:36 a.m.