Triple
T19560496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samegrelo-Zemo Svaneti |
E489434
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object | Ushba |
E506074
|
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: Ushba | Statement: [Samegrelo-Zemo Svaneti, hasMountain, Ushba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ushba Context triple: [Samegrelo-Zemo Svaneti, hasMountain, Ushba]
-
A.
Ushba
chosen
Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
-
B.
Uzynagash
Uzynagash is a rural settlement in southeastern Kazakhstan that serves as a local center within the Almaty Region.
-
C.
Usholta
Usholta is a small settlement located in the mountainous Racha region of northwestern Georgia, known for its remote rural character.
-
D.
Ukaan
Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
-
E.
Ushguli
Ushguli is a remote highland village community in Georgia’s Svaneti region, renowned for its medieval stone towers, well-preserved Svan culture, and status as one of the highest continuously inhabited settlements in Europe.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f731ae48190ade295c15db7f8ed |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771a3a8a481909bb246db0c1fb823 |
completed | May 15, 2026, 7:18 p.m. |
Created at: April 10, 2026, 1:42 p.m.