Triple
T7539787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asopus |
E178244
|
entity |
| Predicate | children |
P980
|
FINISHED |
| Object | Nemea |
E151407
|
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: Nemea | Statement: [Asopus, children, Nemea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nemea Context triple: [Asopus, children, Nemea]
-
A.
Nemea
chosen
Nemea is an ancient site in the northeastern Peloponnese of Greece, renowned for its sanctuary of Zeus and its role as one of the four major venues of the Panhellenic athletic festivals.
-
B.
Isthmia
Isthmia was an important ancient Greek sanctuary and festival site near Corinth, renowned for its temple of Poseidon and the Isthmian Games.
-
C.
Tegea
Tegea was a prominent ancient Greek city-state in the region of Arcadia, noted for its important sanctuary of Athena Alea and its role in Peloponnesian politics.
-
D.
Νέμεσις
Νέμεσις is the Greek goddess of retribution and divine justice, who punishes hubris and restores balance.
-
E.
Lerna
Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f87280f0819097d4ffc2e1b62cf8 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f14d20c8190ab254f991cec0d94 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.