Triple
T13579662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ODTÜ |
E324378
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ODTÜ |
E324378
|
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: ODTÜ | Statement: [ODTÜ, shortName, ODTÜ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ODTÜ Context triple: [ODTÜ, shortName, ODTÜ]
-
A.
ODTÜ
chosen
ODTÜ is a leading public research university in Ankara, Turkey, renowned for its strong engineering, natural sciences, and social sciences programs.
-
B.
Bilkent University
Bilkent University is a leading private research university in Ankara, Turkey, known for its strong emphasis on science, engineering, and international education.
-
C.
Hacettepe University
Hacettepe University is a major public research university in Turkey, renowned for its strong programs in medicine, science, and engineering.
-
D.
Ankara University
Ankara University is a major public research university in Turkey’s capital city, known for its wide range of academic programs and significant role in the country’s higher education and public service.
-
E.
Kadir Has University
Kadir Has University is a private foundation university in Istanbul, Turkey, known for its focus on research, innovation, and contemporary academic programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb03052088190a2b68c106059828e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bbdb2d0819089f094e57dde28cf |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.