Triple
T6757950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Asclepius |
E154509
|
entity |
| Predicate | hasSymbol |
P129
|
FINISHED |
| Object | staff of Asclepius |
E154780
|
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: staff of Asclepius | Statement: [Temple of Asclepius, hasSymbol, staff of Asclepius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: staff of Asclepius Context triple: [Temple of Asclepius, hasSymbol, staff of Asclepius]
-
A.
Rod of Asclepius
chosen
The Rod of Asclepius is an ancient Greek symbol of medicine and healing, depicted as a single serpent entwined around a staff.
-
B.
Asclepius
Asclepius is the ancient Greek god of medicine and healing, revered for his ability to cure illness and restore health.
-
C.
caduceus of Hermes
The caduceus of Hermes is a staff entwined by two serpents and topped with wings, symbolizing commerce, negotiation, and the role of Hermes as a divine messenger in Greek mythology.
-
D.
Ascalaphe
Ascalaphe is a minor figure in Greek mythology, known as the informer who revealed Persephone’s eating of pomegranate seeds and was punished by being transformed into an owl.
-
E.
Healtheon
Healtheon was an early internet-based healthcare technology company that aimed to streamline and digitize medical and insurance transactions.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f90b6c8190b4a17a23aa9ba0fb |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712ad568c8190bc82f6149c22273a |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:11 p.m.