Triple

T23632132
Position Surface form Disambiguated ID Type / Status
Subject Sultan Hassan Mosque E583641 entity
Predicate contains P35 FINISHED
Object mausoleum of Sultan an-Nasir Hasan
The mausoleum of Sultan an-Nasir Hasan is the monumental burial chamber of the Mamluk sultan, located within Cairo’s grand 14th-century Sultan Hassan Mosque complex.
E1593182 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: mausoleum of Sultan an-Nasir Hasan | Statement: [Sultan Hassan Mosque, contains, mausoleum of Sultan an-Nasir Hasan]
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: mausoleum of Sultan an-Nasir Hasan
Triple: [Sultan Hassan Mosque, contains, mausoleum of Sultan an-Nasir Hasan]
Generated description
The mausoleum of Sultan an-Nasir Hasan is the monumental burial chamber of the Mamluk sultan, located within Cairo’s grand 14th-century Sultan Hassan Mosque complex.

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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e90a6881909f19b2446f9d54f0 completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45a0a0cc819091f3b62af43b44d9 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f46b69d288190b3fb6dcea9fb44b5 completed May 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f47974f7c819088de0827ae15dd61 completed May 21, 2026, 5:57 p.m.
Created at: April 17, 2026, 6:47 p.m.