Triple
T19364971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Bulgaria |
E484377
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Nesebar |
—
|
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: Nesebar | Statement: [Southern Bulgaria, hasMajorCity, Nesebar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nesebar Context triple: [Southern Bulgaria, hasMajorCity, Nesebar]
-
A.
Balchik
Balchik is a coastal town and resort on the Black Sea in northeastern Bulgaria, known for its picturesque cliffs, botanical garden, and the former Romanian Queen Marie’s palace.
-
B.
Bay of Nessebar
chosen
The Bay of Nessebar is a coastal inlet on Bulgaria’s Black Sea shore, known for encompassing the historic town and UNESCO World Heritage site of Nessebar.
-
C.
Varna
Varna is a major Bulgarian city on the Black Sea coast known as an important economic, cultural, and maritime center.
-
D.
Kyustendil
Kyustendil is a historic town and spa resort in western Bulgaria, known for its mineral springs, Roman and medieval heritage, and proximity to the Osogovo Mountains.
-
E.
Sozopol
Sozopol is an ancient coastal town and popular seaside resort on Bulgaria’s Black Sea coast, known for its historic architecture and maritime heritage.
- 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.