Triple

T25998794
Position Surface form Disambiguated ID Type / Status
Subject Department of Control and Automation Engineering (Istanbul Technical University) E646560 entity
Predicate hasAbbreviation P43 FINISHED
Object ITÜ Control and Automation Engineering Department E646560 NE FINISHED

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: ITÜ Control and Automation Engineering Department | Statement: [Department of Control and Automation Engineering (Istanbul Technical University), hasAbbreviation, ITÜ Control and Automation Engineering Department]

Provenance (3 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_69e77e88cb8481908da31d4a00661f55 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605720be48190b1b64ecdccfaec17 completed May 2, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11079a5e5c81908197d868a5e05eb5 completed May 23, 2026, 1:49 a.m.
Created at: April 22, 2026, 8:58 a.m.