Triple
T21367042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folegandros |
E526943
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Sikinos |
—
|
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: Sikinos | Statement: [Folegandros, nearbyIsland, Sikinos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sikinos Context triple: [Folegandros, nearbyIsland, Sikinos]
-
A.
Sikinos
chosen
Sikinos is a small, tranquil Greek island in the Cyclades known for its traditional villages, rugged landscapes, and unspoiled, low-key tourism.
-
B.
Sikrai
Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
-
C.
Sanniki
Sanniki is a village in central Poland known for its historical connections to notable Polish figures and its traditional Mazovian rural character.
-
D.
Sikiajhora
Sikiajhora is a forest stream and wetland area within West Bengal’s Buxa Tiger Reserve, known for its rich biodiversity and boat-based wildlife viewing.
-
E.
Sukezane
Sukezane is a Japanese surname borne by various individuals, including contemporary actress Kiki Sukezane.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bae5eb88190be6d9ff4dc03d52b |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:09 p.m.