Triple

T30641025
Position Surface form Disambiguated ID Type / Status
Subject Koç University E779977 entity
Predicate hasFormerRector P81435 FINISHED
Object Umran İnan
Umran İnan is a Turkish scientist and academic leader known for his work in geophysics and space sciences and for serving as rector of Koç University.
 E1922820 NE FINISHED

How this triple was built (3 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: Umran İnan | Statement: [Koç University, hasFormerRector, Umran İnan]
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: Umran İnan
Triple: [Koç University, hasFormerRector, Umran İnan]
Generated description
Umran İnan is a Turkish scientist and academic leader known for his work in geophysics and space sciences and for serving as rector of Koç University.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFormerRector
Context triple: [Koç University, hasFormerRector, Umran İnan]
  • A. hasHistoricalFigureAsRector
    Indicates that an institution has, at some point in its history, had a notable historical figure serve in the role of rector.
  • B. hasRectorate
    Indicates that an institution or organization possesses or is governed by a rectorate (a rector’s administrative office or governing body).
  • C. rectorOrPresident
    Indicates that one entity serves as the rector or president (i.e., the chief executive or head) of another entity, typically an institution such as a university.
  • D. formerAcademicOccupant chosen
    Indicates that an entity previously held an academic position or role at a particular institution or location but no longer does so.
  • E. hasFormerChairperson
    Indicates that an entity previously held the role of chairperson of another entity, but no longer occupies that position.
  • F. None of above.

Provenance (6 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_69fd05ba6b2c81909c62b46237d10365 completed May 7, 2026, 9:35 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.
PD Predicate disambiguation batch_69fd03039e48819082b6e12c5453885a completed May 7, 2026, 9:24 p.m.
Created at: April 29, 2026, 8:29 p.m.