Triple
T15941594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragonja River |
E386576
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Sečovlje |
E451304
|
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: Sečovlje | Statement: [Dragonja River, hasMouthNear, Sečovlje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sečovlje Context triple: [Dragonja River, hasMouthNear, Sečovlje]
-
A.
Sečovlje
chosen
Sečovlje is a village in southwestern Slovenia best known for its historic salt pans and nature park near the town of Piran on the Adriatic coast.
-
B.
Vrčeň
Vrčeň is a small village and municipality in the Plzeň Region of the Czech Republic.
-
C.
Brežice
Brežice is a historic town in eastern Slovenia known for its medieval castle, wine-growing region, and location near the confluence of the Sava and Krka rivers.
-
D.
Trebnje
Trebnje is a small town in southeastern Slovenia known as a local cultural and administrative center in the historical region of Lower Carniola.
-
E.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ce0230819089a20114a755a75a |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bfe72c819095f40a255bcd7ad5 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.