Triple
T17642951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turquoise Coast |
E429282
|
entity |
| Predicate | hasAncientSite |
P1098
|
FINISHED |
| Object | Kaunos |
—
|
NE NERFINISHED |
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: Kaunos | Statement: [Turquoise Coast, hasAncientSite, Kaunos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaunos Context triple: [Turquoise Coast, hasAncientSite, Kaunos]
-
A.
Kaunos
chosen
Kaunos is an ancient Carian city in southwestern Turkey, renowned for its rock-cut Lycian tombs, harbor ruins, and archaeological remains near the modern town of Dalyan.
-
B.
Kegums
Kegums is a town in central Latvia on the Daugava River, known for its major hydroelectric power plant and role in the country’s energy production.
-
C.
Visaginas
Visaginas is a town in northeastern Lithuania known for its Soviet-era origins and proximity to the now-decommissioned Ignalina Nuclear Power Plant.
-
D.
Velnias
Velnias is a chthonic deity in Baltic paganism associated with the underworld, the dead, and often trickster-like or demonic qualities.
-
E.
Kėdainiai
Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de7055c819080d315bb3637882b |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 6:03 a.m.