Triple
T5151909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navoi |
E116213
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Zarafshan River |
E254965
|
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: Zarafshan River | Statement: [Navoi, locatedOnRiver, Zarafshan River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zarafshan River Context triple: [Navoi, locatedOnRiver, Zarafshan River]
-
A.
Neda River
The Neda River is a scenic river in southwestern Greece known for its waterfalls, gorges, and mythological association with the nymph Neda.
-
B.
Andijan-Say River
The Andijan-Say River is a watercourse in eastern Uzbekistan that flows through the city of Andijan in the fertile Fergana Valley.
-
C.
Zeravshan River
chosen
The Zeravshan River is a major Central Asian waterway flowing through Tajikistan and Uzbekistan, historically vital for irrigation and the development of cities along the Silk Road.
-
D.
Bidzhan River
The Bidzhan River is a river in Russia’s Far East that flows through the Jewish Autonomous Oblast and serves as an important local waterway in the region.
-
E.
Varzob River
The Varzob River is a mountain river in western Tajikistan that flows through the Varzob Gorge and past the capital city, Dushanbe.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd78d965548190b09f574acf3b9b1a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097af51508190a1eb69f188a7dcb6 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 20, 2026, 1:44 p.m.