Triple
T14306770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elafonisos |
E354717
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Simos Beach |
E1090947
|
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: Simos Beach | Statement: [Elafonisos, knownFor, Simos Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simos Beach Context triple: [Elafonisos, knownFor, Simos Beach]
-
A.
Simos Beach
chosen
Simos Beach is a renowned Greek beach on the island of Elafonisos, famous for its fine white sand, turquoise waters, and distinctive twin bays.
-
B.
Riverhouse
Riverhouse is a luxury eco-friendly residential condominium building located in Manhattan’s Battery Park City neighborhood.
-
C.
Bombo Beach
Bombo Beach is a popular surf and swimming beach near Kiama on the New South Wales South Coast, known for its striking rock formations and coastal scenery.
-
D.
Paradise
Paradise is the eternal, blissful abode in the hereafter promised by Allah to the righteous in Islamic belief.
-
E.
Paradise
Paradise is a photographic series by German artist Thomas Struth that features large-scale, detailed images of lush, unspoiled natural landscapes.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4684e2648190b46328252ac9d51b |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.