Triple
T1300286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aphrodite |
E27745
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Cythera |
E174964
|
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: Cythera | Statement: [Aphrodite, associatedPlace, Cythera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cythera Context triple: [Aphrodite, associatedPlace, 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.
Delos
Delos is a sacred Aegean island revered in ancient Greek religion as the legendary birthplace of Apollo and Artemis and a major religious and commercial center.
-
C.
Amorgos
Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
-
D.
Leros
Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
-
E.
Aegina
Aegina is a Greek island in the Saronic Gulf, historically significant as a maritime power and cultural center in ancient Greece.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3083a3748190b2404ef5edf90fd7 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 1, 2026, 7:51 p.m.