Triple
T30641025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koç University |
E779977
|
entity |
| Predicate | hasFormerRector |
P81435
|
FINISHED |
| Object | Umran İnan |
—
|
NE NERFINISHED |
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: Umran İnan | Statement: [Koç University, hasFormerRector, Umran İnan]
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 (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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: April 29, 2026, 8:29 p.m.