Triple
T3623104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikaria |
E76772
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Fournoi Korseon |
E178236
|
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: Fournoi Korseon | Statement: [Ikaria, locatedNear, Fournoi Korseon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fournoi Korseon Context triple: [Ikaria, locatedNear, Fournoi Korseon]
-
A.
Fournoi Korseon
chosen
Fournoi Korseon is a small Aegean island complex in Greece known for its traditional fishing villages, quiet beaches, and relatively untouched, authentic atmosphere.
-
B.
Koreiz
Koreiz is a resort settlement on the southern coast of Crimea, known for its seaside location and historic villas.
-
C.
Thaton Kingdom
Thaton Kingdom was an ancient Mon kingdom in Lower Burma known as a major center of Theravada Buddhism and maritime trade in Southeast Asia.
-
D.
Neryungri
Neryungri is a major coal-mining and industrial city in southeastern Siberia, Russia, known as one of the key urban centers of the Sakha Republic (Yakutia).
-
E.
Kurseong
Kurseong is a small hill town in the Darjeeling district of northern West Bengal, India, known for its tea gardens, cool climate, and views of the Eastern Himalayas.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bc79008190abe6900adcbda8de |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43320955c8190910c0f15c80f41f4 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.