Triple
T3663438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megarian school |
E77703
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Megara |
E80191
|
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: Megara | Statement: [Megarian school, region, Megara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megara Context triple: [Megarian school, region, Megara]
-
A.
Megara
Megara is a figure in Greek mythology known as the first wife of the hero Heracles, whose tragic fate helped set in motion his famous labors.
-
B.
Megara
chosen
Megara is an ancient Greek city-state in the region of Attica, historically known for its strategic location near the Isthmus of Corinth and its role in early Greek philosophy and colonization.
-
C.
Myrina
Myrina is the main town and administrative center of the Greek island of Lemnos in the northern Aegean Sea.
-
D.
Partheni
Partheni is a small coastal village and settlement on the Greek island of Leros in the Dodecanese.
-
E.
Arethousa
Arethousa is a nymph from Greek mythology, closely associated with a sacred spring and often linked to the goddess Artemis.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3fcd910819082012b10b23860aa |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4e0abd08190895897c62a7a5243 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:25 p.m.