Triple
T2967079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megara |
E80191
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Megaris |
E314813
|
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: Megaris | Statement: [Megara, hasRegion, Megaris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megaris Context triple: [Megara, hasRegion, Megaris]
-
A.
Megaris
chosen
Megaris was an ancient Greek region in central Greece, situated between Attica and Corinthia and centered around the city-state of Megara.
-
B.
Lamprocles
Lamprocles was one of the sons of the Athenian philosopher Socrates and his wife Xanthippe, mentioned in ancient sources mainly in relation to his famous father.
-
C.
Artemios
Artemios is the given first name of Greek singer Demis Roussos, an internationally renowned pop and rock vocalist.
-
D.
Aristodemus
Aristodemus is a minor figure in ancient Greek philosophy, known primarily as a participant and narrator in Plato’s dialogue Symposium.
-
E.
Terpsion
Terpsion is a character in Plato’s dialogues, notably appearing in the Theaetetus as one of the interlocutors involved in recounting Socratic conversations.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad996e93788190ba9883714d4dfa0c |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108e14e288190bcca59b2d8132996 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.