Triple
T21730670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirenia Stakes |
E536395
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sirenia |
—
|
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: Sirenia | Statement: [Sirenia Stakes, namedAfter, Sirenia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sirenia Context triple: [Sirenia Stakes, namedAfter, Sirenia]
-
A.
Sirenia
chosen
Sirenia is an order of fully aquatic, herbivorous mammals that includes manatees and dugongs, known for their slow-moving lifestyle in warm coastal and freshwater habitats.
-
B.
Kolymbithres
Kolymbithres is a famous beach on the Greek island of Paros, known for its unique sculpted granite rock formations and clear turquoise waters.
-
C.
Delfini
Delfini is the nickname of Italian football club Delfino Pescara 1936, reflecting the club’s dolphin-themed identity.
-
D.
Orcines
Orcines is a commune in central France’s Puy-de-Dôme department, known for its proximity to the Chaîne des Puys volcanic range.
-
E.
Delphinus
Delphinus is a small, distinctive constellation in the northern sky, often depicted as a dolphin and known for its compact, kite-shaped pattern of stars.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd064fcc819084852b4248f65a81 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.