Triple

T30641035
Position Surface form Disambiguated ID Type / Status
Subject Koç University E779977 entity
Predicate hasSchool P113 FINISHED
Object Graduate School of Sciences and Engineering
The Graduate School of Sciences and Engineering is Koç University's advanced academic unit offering graduate programs and research opportunities in science and engineering disciplines.
E1922829 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: Graduate School of Sciences and Engineering | Statement: [Koç University, hasSchool, Graduate School of Sciences and Engineering]
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: Graduate School of Sciences and Engineering
Triple: [Koç University, hasSchool, Graduate School of Sciences and Engineering]
Generated description
The Graduate School of Sciences and Engineering is Koç University's advanced academic unit offering graduate programs and research opportunities in science and engineering disciplines.

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_69f224a50ebc81909b961a94c7f66b12 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a557e308190a55aa6958b6d012e completed May 2, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863f60ac881909650031b59a531cd completed June 9, 2026, 7:05 p.m.
NEDg Description generation batch_6a2864f21c548190a70918ec6ce828e4 completed June 9, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_6a286566d4c08190891c25fc18cdd5d7 completed June 9, 2026, 7:11 p.m.
Created at: April 29, 2026, 8:29 p.m.