Triple
T19364977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Bulgaria |
E484377
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Dupnitsa |
—
|
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: Dupnitsa | Statement: [Southern Bulgaria, hasMajorCity, Dupnitsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dupnitsa Context triple: [Southern Bulgaria, hasMajorCity, Dupnitsa]
-
A.
Dupnitsa
chosen
Dupnitsa is a town in southwestern Bulgaria known as a regional center near the Osogovo Mountains, with historical roots and access to mountain tourism and outdoor activities.
-
B.
Berestovitsa
Berestovitsa is a Belarusian town known for its strategic location near the border with Poland, serving as an important regional transport and customs point.
-
C.
Krolevets
Krolevets is a small historic city in northeastern Ukraine known for its traditional weaving crafts and location within Sumy Oblast.
-
D.
Lyaskovets
Lyaskovets is a small town in north-central Bulgaria known for its historical monasteries and traditional Bulgarian architecture.
-
E.
Karmanovo
Karmanovo is a rural village located within the Gagarinsky District of Smolensk Oblast in western Russia.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619aa9ff48190b1ede47fb88a682e |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.