Triple
T23228390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kithira |
E581076
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Cythera |
—
|
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: Cythera | Statement: [Kithira, alsoKnownAs, Cythera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cythera Context triple: [Kithira, alsoKnownAs, Cythera]
-
A.
Cythera
chosen
Cythera is a Greek island historically renowned as one of the principal cult centers and legendary birthplaces associated with the goddess Aphrodite.
-
B.
Seriphos
Seriphos is a small Aegean island in Greek mythology best known as the place where Perseus was raised and later returned with the head of Medusa.
-
C.
Sipylos
Sipylos is the ancient name of a historically significant mountain in western Anatolia, associated with Greek mythology and early Anatolian civilizations.
-
D.
Scyros
Scyros is a Greek island in the Aegean Sea, historically notable as the legendary place where the hero Theseus met his death.
-
E.
Aphaia
Aphaia is an ancient Greek goddess, primarily worshipped on the island of Aegina, associated with fertility, agriculture, and local protection.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192302e508190b286c284a261f172 |
completed | April 29, 2026, 5:08 a.m. |
Created at: April 17, 2026, 4:09 p.m.