Triple

T26501917
Position Surface form Disambiguated ID Type / Status
Subject Aishti Foundation building, Beirut E669444 entity
Predicate associatedWith P37 FINISHED
Object Aishti art collection
The Aishti art collection is a prominent contemporary art collection in Lebanon, featuring international and regional works and housed within the Aishti Foundation’s cultural complex near Beirut.
E1729379 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: Aishti art collection | Statement: [Aishti Foundation building, Beirut, associatedWith, Aishti art collection]
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: Aishti art collection
Triple: [Aishti Foundation building, Beirut, associatedWith, Aishti art collection]
Generated description
The Aishti art collection is a prominent contemporary art collection in Lebanon, featuring international and regional works and housed within the Aishti Foundation’s cultural complex near Beirut.

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_69eeb319ec70819090834c2591cf5f1e completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6135b47248190a67aa93a1e6b936c completed May 2, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb3576ec819093d168f8713f8e65 completed May 23, 2026, 2:35 p.m.
NEDg Description generation batch_6a11be60f78c819093363b32bd4e3447 completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11bf9748e88190be2a61f717893a27 completed May 23, 2026, 2:54 p.m.
Created at: April 27, 2026, 1:13 a.m.