Triple

T27974109
Position Surface form Disambiguated ID Type / Status
Subject Construction Management Group, University of Tehran E706439 entity
Predicate hasParentOrganization P10 FINISHED
Object School of Civil Engineering, University of Tehran
The School of Civil Engineering at the University of Tehran is a leading Iranian academic institution specializing in education and research across major civil engineering disciplines, including structural, geotechnical, transportation, environmental, and construction engineering.
E720145 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: School of Civil Engineering, University of Tehran | Statement: [Construction Management Group, University of Tehran, hasParentOrganization, School of Civil Engineering, University of Tehran]
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: School of Civil Engineering, University of Tehran
Triple: [Construction Management Group, University of Tehran, hasParentOrganization, School of Civil Engineering, University of Tehran]
Generated description
The School of Civil Engineering at the University of Tehran is a leading Iranian academic institution specializing in education and research across major civil engineering disciplines, including structural, geotechnical, transportation, environmental, and construction engineering.

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_6a15b890549881909da4241fb4c90c24 completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15b930d3a48190b47c9a7921d3f9b5 completed May 26, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_6a15bb82f47c8190bf0ec0ca187e3c4b completed May 26, 2026, 3:25 p.m.
Created at: April 27, 2026, 7:40 p.m.