Triple
T20222624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aristomachus |
E495294
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | oracle of Delphi |
—
|
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: oracle of Delphi | Statement: [Aristomachus, associatedWith, oracle of Delphi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: oracle of Delphi Context triple: [Aristomachus, associatedWith, oracle of Delphi]
-
A.
port of Delphi
The port of Delphi was the ancient harbor town that served as the maritime gateway to the famous sanctuary of Apollo at Delphi in Greece.
-
B.
DELPHI
DELPHI was a major particle physics detector experiment at CERN’s Large Electron–Positron Collider that studied high-energy electron–positron collisions to test the Standard Model and search for new phenomena.
-
C.
oracle at Delphi
chosen
The oracle at Delphi was the most famous ancient Greek prophetic sanctuary, where the priestess Pythia delivered cryptic divine pronouncements believed to come from the god Apollo.
-
D.
Oracles
Oracles in Greek mythology were sacred seers or prophetic shrines through which the gods were believed to reveal divine will and foretell the future.
-
E.
The Oracle
The Oracle is a major riverside shopping and leisure complex in Reading, England, featuring a wide range of retail stores, restaurants, and entertainment venues.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd729548190942bcf842f03c4cd |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.