Triple
T16017253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Kynouria |
E388498
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Ano Vervena |
E1191704
|
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: Ano Vervena | Statement: [North Kynouria, containsSettlement, Ano Vervena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ano Vervena Context triple: [North Kynouria, containsSettlement, Ano Vervena]
-
A.
Ano Vervena
chosen
Ano Vervena is a small mountain village in the municipality of North Kynouria in the Arcadia region of the Peloponnese, Greece.
-
B.
Kato Vervena
Kato Vervena is a village in the municipality of North Kynouria in the Arcadia regional unit of the Peloponnese, Greece.
-
C.
Verdolagas
Verdolagas is the popular nickname of Honduran football club Marathón, one of the country’s most traditional and successful teams.
-
D.
Verver
Verver is the surname of Maggie Verver, a central character in Henry James’s novel "The Golden Bowl."
-
E.
Schildkraut
Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18295c6a4819093263db8669d4b08 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb867ae88190945af88247d4c80b |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:55 a.m.