Triple
T2569909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Georgia |
E57639
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Kaspi |
E50021
|
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: Kaspi | Statement: [Eastern Georgia, containsCity, Kaspi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaspi Context triple: [Eastern Georgia, containsCity, Kaspi]
-
A.
Kaspi
chosen
Kaspi is a town in central Georgia known as an industrial center and regional hub within the Shida Kartli area.
-
B.
Middle Caspian
Middle Caspian is the deep central basin of the Caspian Sea, situated between its northern shallow shelf and southern deep-water region.
-
C.
Sea of Azov
The Sea of Azov is a shallow inland sea in Eastern Europe connected to the Black Sea, bordered by Ukraine and Russia and known for its strategic and economic importance.
-
D.
Azov
Azov is a historic port city in Russia’s Rostov Oblast, located near the mouth of the Don River by the Sea of Azov.
-
E.
Amu Darya
The Amu Darya is one of Central Asia’s largest and most historically significant rivers, flowing from the Pamir and Hindu Kush mountains toward the Aral Sea.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd382928c8190b6316f3db48d8e73 |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af656d7dec81909ea0aae4506cf4e3 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.