Triple
T20509752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaipėda County |
E503526
|
entity |
| Predicate | hasMajorResort |
P10436
|
FINISHED |
| Object | Neringa |
—
|
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: Neringa | Statement: [Klaipėda County, hasMajorResort, Neringa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neringa Context triple: [Klaipėda County, hasMajorResort, Neringa]
-
A.
Neringa
chosen
Neringa is a resort town and municipality on Lithuania’s Curonian Spit, known for its sandy beaches, dunes, and tourism.
-
B.
Duklia
Duklia is an alternative name for Duklja, a medieval Slavic state centered around present-day Montenegro.
-
C.
Plungė
Plungė is a town in northwestern Lithuania that serves as an important cultural and economic center of the Samogitia region.
-
D.
Nausėda
Nausėda is a Lithuanian surname most prominently associated with Gitanas Nausėda, the President of Lithuania.
-
E.
Kaunos
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.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dcab8248190992e6ada23e5f253 |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.