Triple
T19044774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Balkhash |
E466102
|
entity |
| Predicate | hasCityOnShore |
P969
|
FINISHED |
| Object | Balkhash |
—
|
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: Balkhash | Statement: [Lake Balkhash, hasCityOnShore, Balkhash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balkhash Context triple: [Lake Balkhash, hasCityOnShore, Balkhash]
-
A.
Lake Balkhash
chosen
Lake Balkhash is a large, partly freshwater and partly saline lake in southeastern Kazakhstan and one of Central Asia’s most significant inland water bodies.
-
B.
Lake Zaysan
Lake Zaysan is a large, ancient freshwater lake in eastern Kazakhstan, situated in a tectonic depression and forming part of the Irtysh River basin.
-
C.
Kara-Suu
Kara-Suu is a town in southern Kyrgyzstan that serves as an important local trade and transport hub near the border with Uzbekistan.
-
D.
Khatanga
Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
-
E.
Sarygamysh Lake
Sarygamysh Lake is a large, mostly endorheic lake in the arid lowlands of Central Asia, lying between Turkmenistan and Uzbekistan and fed primarily by drainage from the Amu Darya River.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d803b2b08190b057d4b5bc555d4f |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.