Triple
T4621524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borjomi-Kharagauli National Park |
E100996
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Borjomi |
E111927
|
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: Borjomi | Statement: [Borjomi-Kharagauli National Park, nearestCity, Borjomi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borjomi Context triple: [Borjomi-Kharagauli National Park, nearestCity, Borjomi]
-
A.
Borjomi
chosen
Borjomi is a Georgian resort town famous for its mineral water springs and scenic location in the Borjomi Gorge.
-
B.
Tskaltubo
Tskaltubo is a spa town in western Georgia renowned for its radon-carbonate mineral springs and Soviet-era sanatoriums.
-
C.
Bolnisi
Bolnisi is a town in southern Georgia known for its historic Bolnisi Sioni Cathedral and its diverse cultural heritage.
-
D.
Abastumani
Abastumani is a small resort town in southern Georgia, historically known for its mountain climate and therapeutic sanatoriums.
-
E.
Akhaltsikhe
Akhaltsikhe is a historic city in southern Georgia known for its multicultural heritage and the restored Rabati Castle complex.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0374308190aeaffc9d866a3742 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa9b38f08190b7d96d9d72495cb9 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:12 p.m.