Triple
T19150378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapchagay bridge |
E468788
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kapchagay |
—
|
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: Kapchagay | Statement: [Kapchagay bridge, locatedNear, Kapchagay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapchagay Context triple: [Kapchagay bridge, locatedNear, Kapchagay]
-
A.
Kapchagay
chosen
Kapchagay is a town in southeastern Kazakhstan known for its large reservoir on the Ili River and its role as a regional recreation and tourism center.
-
B.
Kochkor-Ata
Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
-
C.
Kochkor
Kochkor is a small town in central Kyrgyzstan known as a gateway to nearby alpine lakes and a hub for community-based tourism in the Naryn Region.
-
D.
Cholpon-Ata
Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
-
E.
Байқоңыр
Байқоңыр — это город в Казахстане, известный прежде всего благодаря расположенному рядом космодрому, одному из главных мировых центров космических запусков.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97cfaa08190b7085d28fe970108 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.