Triple
T17761681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegium |
E443390
|
entity |
| Predicate | hasTempleOf |
P64892
|
FINISHED |
| Object | Asclepius |
—
|
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: Asclepius | Statement: [Aegium, hasTempleOf, Asclepius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asclepius Context triple: [Aegium, hasTempleOf, Asclepius]
-
A.
Asclepius
chosen
Asclepius is the ancient Greek god of medicine and healing, revered for his ability to cure illness and restore health.
-
B.
Asklepion of Kos
The Asklepion of Kos is an ancient Greek healing sanctuary dedicated to the god Asclepius, renowned as a major medical center associated with Hippocrates and classical medicine.
-
C.
Medeius
Medeius is a figure from Greek mythology known as a descendant of the hero Jason’s family line.
-
D.
Asclepiades of Bithynia
Asclepiades of Bithynia was an influential Hellenistic physician known for rejecting Hippocratic humoral theory and promoting a mechanistic, atomistic view of the body along with gentle, non-invasive treatments.
-
E.
Calchas
Calchas is a prophetic Trojan priest who defects to the Greeks in medieval and classical tales of the Trojan War, including Chaucer’s "Troilus and Criseyde."
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f7a8e08190a4a6b8368b70c381 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.