Triple
T7115120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samokov |
E165798
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Borovets |
E165796
|
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: Borovets | Statement: [Samokov, locatedNear, Borovets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borovets Context triple: [Samokov, locatedNear, Borovets]
-
A.
Borovets resort
chosen
Borovets resort is one of Bulgaria’s oldest and most popular mountain and ski resorts, located on the northern slopes of the Rila Mountains.
-
B.
Bansko
Bansko is a Bulgarian mountain town renowned as one of Eastern Europe’s leading ski and winter sports resorts.
-
C.
Pamporovo
Pamporovo is a popular Bulgarian ski resort town known for its sunny weather, gentle slopes, and location in the scenic Rhodope Mountains.
-
D.
Berane
Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
-
E.
Smolyan
Smolyan is a Bulgarian town known as an administrative, cultural, and tourist center in the Rhodope Mountains.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f401b881909ef4c2ab1e0750db |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a32870e481909472f8fcd2501289 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:43 p.m.