Triple
T21501107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kichikdash |
E530475
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Gobustan District |
—
|
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: Gobustan District | Statement: [Kichikdash, locatedIn, Gobustan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gobustan District Context triple: [Kichikdash, locatedIn, Gobustan District]
-
A.
Gobustan District
chosen
Gobustan District is a region of Azerbaijan renowned for its ancient petroglyphs and archaeological sites that form part of the Gobustan Rock Art Cultural Landscape, a UNESCO World Heritage Site.
-
B.
Karatay district
Karatay district is a central urban district of Konya, Turkey, known for its historic architecture and cultural heritage within the city.
-
C.
Saryagash District
Saryagash District is an administrative district in southern Kazakhstan known for its proximity to the Uzbek border and its mineral springs.
-
D.
Daşoguz Region
Daşoguz Region is an administrative region in northern Turkmenistan known for its desert landscapes and proximity to the historical Khorezm area.
-
E.
Aral District
Aral District is an administrative district in Kazakhstan situated near the northern Aral Sea, known for encompassing areas affected by the sea’s environmental decline and related restoration efforts.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5be400819093e2b7e145254eab |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.