Triple
T13250232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beypazarı |
E315505
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Beypazarı mineral water |
E315505
|
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: Beypazarı mineral water | Statement: [Beypazarı, hasProduct, Beypazarı mineral water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beypazarı mineral water Context triple: [Beypazarı, hasProduct, Beypazarı mineral water]
-
A.
Beyşehir
Beyşehir is a town and district in central Turkey known for its large freshwater lake, Lake Beyşehir, and its rich Seljuk-era architectural heritage.
-
B.
Beypazarı
chosen
Beypazarı is a historic district and town in central Turkey known for its well-preserved Ottoman-era houses, traditional markets, and mineral water.
-
C.
Salıpazarı
Salıpazarı is a town and district in northern Turkey known for its rural character and location within Samsun Province along the Black Sea region.
-
D.
Keban
Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
-
E.
Gölbaşı
Gölbaşı is a district and suburban area of Ankara in central Turkey, known for its lakes, recreational areas, and proximity to the capital city.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff393898819083bdf726466fcbe0 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:24 p.m.