Triple

T27973952
Position Surface form Disambiguated ID Type / Status
Subject André Godard E706435 entity
Predicate notableWork P4 FINISHED
Object University of Tehran campus master plan
The University of Tehran campus master plan is a seminal early-20th-century architectural and urban design scheme that organized Iran’s leading university into a cohesive, modern academic campus.
 E1796595 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: University of Tehran campus master plan | Statement: [André Godard, notableWork, University of Tehran campus master plan]
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: University of Tehran campus master plan
Triple: [André Godard, notableWork, University of Tehran campus master plan]
Generated description
The University of Tehran campus master plan is a seminal early-20th-century architectural and urban design scheme that organized Iran’s leading university into a cohesive, modern academic campus.

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_69ef96b7f330819090f315318ba6977e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63b37b59c81909442178f8c0d0919 completed May 2, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a131177e9f48190a9a6cd2452a16f51 completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a131304ef8c8190aba3b2492a73a190 completed May 24, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_6a1313c6b1208190920903aa5346950f completed May 24, 2026, 3:05 p.m.
Created at: April 27, 2026, 7:40 p.m.