Triple
T11348077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Şanlıurfa |
E268771
|
entity |
| Predicate | hasUniversity |
P113
|
FINISHED |
| Object | Harran University |
E882934
|
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: Harran University | Statement: [Şanlıurfa, hasUniversity, Harran University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harran University Context triple: [Şanlıurfa, hasUniversity, Harran University]
-
A.
Harran University
chosen
Harran University is a public higher education institution located in the city of Şanlıurfa in southeastern Turkey.
-
B.
Selçuk University
Selçuk University is a major public research university in Konya, Turkey, known for its wide range of academic programs and significant regional influence in education and research.
-
C.
Yaşar University
Yaşar University is a private foundation university in İzmir, Turkey, known for its English-medium programs and focus on internationalization and research.
-
D.
Dokuz Eylul University
Dokuz Eylul University is a major public research university in İzmir, Turkey, known for its wide range of academic programs and significant regional influence.
-
E.
Hacettepe University
Hacettepe University is a major public research university in Turkey, renowned for its strong programs in medicine, science, and engineering.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5438d7b58819093cc1407fefe8ab5 |
completed | April 19, 2026, 9:05 p.m. |
Created at: April 8, 2026, 9:33 p.m.