Triple

T25440475
Position Surface form Disambiguated ID Type / Status
Subject Department of Humanities, Chittagong University of Engineering and Technology E637489 entity
Predicate parentOrganization P254 FINISHED
Object Faculty of Engineering and Technology, Chittagong University of Engineering and Technology NE NERFINISHED

How this triple was built (1 step)

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: Faculty of Engineering and Technology, Chittagong University of Engineering and Technology | Statement: [Department of Humanities, Chittagong University of Engineering and Technology, parentOrganization, Faculty of Engineering and Technology, Chittagong University of Engineering and Technology]

Provenance (2 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6e73f308190a6e6c6e85fecaeb2 completed May 2, 2026, 1:06 p.m.
Created at: April 21, 2026, 2 p.m.