Triple
T19927261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didube |
E478956
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | დიდუბე |
—
|
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: დიდუბე | Statement: [Didube, nativeName, დიდუბე]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: დიდუბე Context triple: [Didube, nativeName, დიდუბე]
-
A.
Dorud
Dorud is a city in western Iran’s Lorestan Province, known as a regional rail junction and gateway to the surrounding Zagros mountain landscapes.
-
B.
Boyukdash
Boyukdash is a prominent rocky hill in Azerbaijan’s Gobustan region, renowned for its ancient petroglyphs and archaeological remains that form part of the Gobustan Rock Art Cultural Landscape.
-
C.
Doljo
Doljo is a coastal barangay on Panglao Island in Bohol, Philippines, known for its white-sand beach and diving spots.
-
D.
Didube
chosen
Didube is a metro station in Tbilisi, Georgia, serving as a key transit hub that connects the city’s metro system with major bus and marshrutka routes to other regions.
-
E.
Durdar
Durdar is a village near Carlisle in Cumbria, England, known for being the site of Carlisle Racecourse.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659ca52c881908dc8053bf61be4c4 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.