Triple
T23001444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakarya, Turkey |
E572641
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Akyazı |
—
|
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: Akyazı | Statement: [Sakarya, Turkey, hasDistrict, Akyazı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akyazı Context triple: [Sakarya, Turkey, hasDistrict, Akyazı]
-
A.
Akyazı
chosen
Akyazı is a town and district in northwestern Turkey known for its agricultural activities and proximity to natural attractions such as forests and thermal springs.
-
B.
Alacakaya
Alacakaya is a small town and district in eastern Turkey known for its marble quarries and location within Elazığ Province.
-
C.
Cayma
Cayma is a district capital in the Arequipa region of southern Peru, known for its colonial-era architecture and scenic views of nearby volcanoes.
-
D.
Yassıada
Yassıada is one of Istanbul’s Princes' Islands in the Sea of Marmara, historically known for its use as a place of exile and for hosting the 1960–61 trials of Turkish political leaders.
-
E.
Aksay
Aksay is a small industrial city in western Kazakhstan known for its role in the regional oil and gas sector.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18353d05481909abacb48a14ef21e |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.