Triple
T15889940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solkan Bridge |
E385290
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Solkan |
E383476
|
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: Solkan | Statement: [Solkan Bridge, locatedIn, Solkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solkan Context triple: [Solkan Bridge, locatedIn, Solkan]
-
A.
Solkan
chosen
Solkan is a settlement in western Slovenia, known for its historic stone railway bridge over the Soča River and its proximity to the town of Nova Gorica.
-
B.
Slanica
Slanica was a former Slovak village in the Orava region that was submerged during the creation of the Orava Reservoir, with only its church preserved on an island as a memorial.
-
C.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
D.
Zachenberg
Zachenberg is a small municipality in the Bavarian Forest region of southeastern Germany.
-
E.
Suchdol
Suchdol is a residential and university district on the northwestern edge of Prague, known for hosting the Czech University of Life Sciences and offering a semi-rural atmosphere overlooking the Vltava valley.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561d5c28819094c3541d917a4433 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb047b6248190b6c11ef20636f50f |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.