Triple
T21018298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarafshan River valley |
E517736
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kattakurgan |
—
|
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: Kattakurgan | Statement: [Zarafshan River valley, contains, Kattakurgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kattakurgan Context triple: [Zarafshan River valley, contains, Kattakurgan]
-
A.
Kattakurgan
chosen
Kattakurgan is a city in eastern Uzbekistan known as an important regional center within the Samarkand Region.
-
B.
Kabatepe
Kabatepe is a small coastal port on Turkey’s Gallipoli Peninsula, serving as a key ferry terminal and access point to the island of Gökçeada and nearby historic battlefields.
-
C.
Karatay
Karatay is a central district and municipality within Turkey’s Konya Province, known for its historical sites and role in the urban core of Konya city.
-
D.
Chelkash
"Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
-
E.
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.
- 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5a27f08190b26828a6a7b59f7c |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.