Triple
T22978017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleisoura Pass |
E571378
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kastoria |
—
|
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: Kastoria | Statement: [Kleisoura Pass, locatedNear, Kastoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kastoria Context triple: [Kleisoura Pass, locatedNear, Kastoria]
-
A.
Kastoria
chosen
Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
-
B.
Makeyevka
Makeyevka is an industrial city in eastern Ukraine’s Donetsk Oblast, historically known for its coal mining and metallurgical industries.
-
C.
Novozybkov
Novozybkov is a town in western Russia known as a local administrative and economic center near the borders with Belarus and Ukraine.
-
D.
Nikolaev
Nikolaev is the Russian-language name for Mykolaiv, a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
-
E.
Kirovo-Chepetsk
Kirovo-Chepetsk is an industrial city in western Russia known for its chemical and manufacturing industries and its location on the Vyatka River.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18292f3788190ab4e9d559e0070c8 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.