Triple
T12728159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rila–Rhodope massif |
E304158
|
entity |
| Predicate | notableSettlementNearby |
P19575
|
FINISHED |
| Object | Pamporovo |
E306470
|
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: Pamporovo | Statement: [Rila–Rhodope massif, notableSettlementNearby, Pamporovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pamporovo Context triple: [Rila–Rhodope massif, notableSettlementNearby, Pamporovo]
-
A.
Pamporovo
chosen
Pamporovo is a popular Bulgarian ski resort town known for its sunny weather, gentle slopes, and location in the scenic Rhodope Mountains.
-
B.
Lovech
Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
-
C.
Opočno
Opočno is a historic town in the Hradec Králové Region of the Czech Republic, known for its Renaissance chateau and as the birthplace of painter František Kupka.
-
D.
Nová Baňa
Nová Baňa is a small historic town in central Slovakia known for its former gold and silver mining activities in the Štiavnica Mountains region.
-
E.
Lozova
Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96facb2d48190bc12efc00c9da360 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c884bd08190bf0022e8303a4987 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:25 p.m.