Triple

T24498756
Position Surface form Disambiguated ID Type / Status
Subject al-Ashraf Barsbay funerary complex E617871 entity
Predicate builder P3143 FINISHED
Object Sultan al-Ashraf Barsbay
Sultan al-Ashraf Barsbay was a 15th-century Mamluk sultan of Egypt and Syria known for consolidating state control over trade, especially the spice trade, and for his extensive architectural patronage in Cairo.
E1688923 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: Sultan al-Ashraf Barsbay | Statement: [al-Ashraf Barsbay funerary complex, builder, Sultan al-Ashraf Barsbay]
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: Sultan al-Ashraf Barsbay
Triple: [al-Ashraf Barsbay funerary complex, builder, Sultan al-Ashraf Barsbay]
Generated description
Sultan al-Ashraf Barsbay was a 15th-century Mamluk sultan of Egypt and Syria known for consolidating state control over trade, especially the spice trade, and for his extensive architectural patronage in Cairo.

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_69e2d7f682108190a1a7ca5fd485ee8a completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a7fe176c819082a67e2fa50716a2 completed April 30, 2026, 12:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10c1030c34819094306147932a158f completed May 22, 2026, 8:48 p.m.
NEDg Description generation batch_6a10c1a80a0081909081a3ae1b22ebf3 completed May 22, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_6a10c214cc5c8190a7f5155cf346891a completed May 22, 2026, 8:52 p.m.
Created at: April 18, 2026, 2:23 a.m.