Triple
T12690298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Rila Lakes |
E303185
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Salzata |
E999010
|
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: Salzata | Statement: [Seven Rila Lakes, hasLake, Salzata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salzata Context triple: [Seven Rila Lakes, hasLake, Salzata]
-
A.
Salzata
chosen
Salzata is one of Bulgaria’s Seven Rila Lakes, noted for its exceptional clarity and scenic high-mountain setting.
-
B.
Salza
The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
-
C.
Basauri
Basauri is a town and municipality in the province of Biscay in Spain’s Basque Country, forming part of the Greater Bilbao metropolitan area.
-
D.
Balcarce
Balcarce is a city in Buenos Aires Province, Argentina, known for its agricultural economy, motorsport heritage, and as the birthplace of racing legend Juan Manuel Fangio.
-
E.
Sierroz
Sierroz is a river in eastern France that serves as one of the tributaries feeding into Lac du Bourget.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961dabb38819087738361f9de8066 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7a79908190b83a868090990bbe |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:22 p.m.