Triple
T17639575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tskaltubo Municipality |
E429186
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Tskaltubo spa town |
—
|
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: Tskaltubo spa town | Statement: [Tskaltubo Municipality, hasUrbanCenter, Tskaltubo spa town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tskaltubo spa town Context triple: [Tskaltubo Municipality, hasUrbanCenter, Tskaltubo spa town]
-
A.
Tskaltubo
chosen
Tskaltubo is a spa town in western Georgia renowned for its radon-carbonate mineral springs and Soviet-era sanatoriums.
-
B.
Mineralnye Vody
Mineralnye Vody is a town in Russia’s Stavropol Krai known as a key transport hub in the North Caucasus, particularly for its railway and airport connections.
-
C.
Borjomi
Borjomi is a Georgian resort town famous for its mineral water springs and scenic location in the Borjomi Gorge.
-
D.
Dupnitsa
Dupnitsa is a town in southwestern Bulgaria known as a regional center near the Osogovo Mountains, with historical roots and access to mountain tourism and outdoor activities.
-
E.
Imeretinsky resort area
The Imeretinsky resort area is a coastal tourist district in Sochi, Russia, known for its modern hotels, beaches, and proximity to the 2014 Winter Olympics venues.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de3f2a08190998641fa589bad78 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6:01 a.m.