Triple
T21367021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folegandros |
E526943
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Ano Meria |
—
|
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: Ano Meria | Statement: [Folegandros, hasVillage, Ano Meria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ano Meria Context triple: [Folegandros, hasVillage, Ano Meria]
-
A.
Ano Meria
chosen
Ano Meria is a traditional rural village on the Greek island of Folegandros, known for its scattered farmhouses, dry-stone walls, and unspoiled Cycladic landscape.
-
B.
Miyuki
Miyuki is a Japanese given name commonly used for women and associated with meanings such as "beautiful happiness" or "deep snow," depending on the kanji used.
-
C.
Mayu
Mayu is a regional dialect of the Berta language, spoken by Berta communities in parts of northeastern Africa.
-
D.
Harumi
Harumi is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers and role in the Tokyo 2020 Olympic and Paralympic Village.
-
E.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
- 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.