Triple

T36403707
Position Surface form Disambiguated ID Type / Status
Subject Islamic Arts Museum Malaysia E896695 entity
Predicate hasGallery P4142 FINISHED
Object Malay World Gallery
Malay World Gallery is a dedicated exhibition space within the Islamic Arts Museum Malaysia that showcases Islamic art and cultural heritage from the Malay world and Southeast Asia.
E896695 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: Malay World Gallery | Statement: [Islamic Arts Museum Malaysia, hasGallery, Malay World Gallery]
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: Malay World Gallery
Triple: [Islamic Arts Museum Malaysia, hasGallery, Malay World Gallery]
Generated description
Malay World Gallery is a dedicated exhibition space within the Islamic Arts Museum Malaysia that showcases Islamic art and cultural heritage from the Malay world and Southeast Asia.

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_69f76e53b81081908d3b81860593f38a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bd17820881909fdeb97dfdfd8e18 completed May 3, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a0942d5a88190b0dfb0e65f5b4c5c completed June 23, 2026, 4:19 a.m.
NEDg Description generation batch_6a3a0b4008d08190b97ed0885a046e8e completed June 23, 2026, 4:27 a.m.
NED2 Entity disambiguation (via description) batch_6a3a0b773e888190a79e58fe14c2488d completed June 23, 2026, 4:28 a.m.
Created at: May 3, 2026, 4:10 p.m.