Triple
T16066446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beşevler Campus |
E389743
|
entity |
| Predicate | locatedInNeighborhood |
P40
|
FINISHED |
| Object |
Beşevler
Beşevler is a neighborhood in Bursa, Turkey, known for its educational institutions and urban residential character.
|
E1193266
|
NE FINISHED |
How this triple was built (4 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: Beşevler | Statement: [Beşevler Campus, locatedInNeighborhood, Beşevler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beşevler Context triple: [Beşevler Campus, locatedInNeighborhood, Beşevler]
-
A.
Gevaş
Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
-
B.
Barsheni
Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
-
C.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
-
D.
Bogdanovka
Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
-
E.
Balya
Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Beşevler Triple: [Beşevler Campus, locatedInNeighborhood, Beşevler]
Generated description
Beşevler is a neighborhood in Bursa, Turkey, known for its educational institutions and urban residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beşevler Target entity description: Beşevler is a neighborhood in Bursa, Turkey, known for its educational institutions and urban residential character.
-
A.
Gevaş
Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
-
B.
Barsheni
Barsheni is a small Himalayan village in Himachal Pradesh, India, serving as a popular base for treks to places like Kheerganga and Tosh in the Parvati Valley.
-
C.
Orlovets
Orlovets is a prominent mountain peak in Bulgaria’s Rila Mountains, popular with hikers and climbers for its rugged alpine terrain and scenic views.
-
D.
Bogdanovka
Bogdanovka is a village in Ukraine known as the site of a World War II massacre of Jews and now commemorated as a Holocaust memorial location.
-
E.
Balya
Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
- F. None of above. chosen
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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837ca628819081dfc439fe322d58 |
completed | April 17, 2026, 12:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe480d59c8190962ac596a872b5e0 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe6ee34788190942ef1d3bb805f78 |
completed | May 10, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe7d127848190bbd79a8b94a49f93 |
completed | May 10, 2026, 2:05 a.m. |
Created at: April 10, 2026, 4:57 a.m.