Triple
T2112611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeschylus |
E42537
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Eleusis |
E22904
|
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: Eleusis | Statement: [Aeschylus, birthPlace, Eleusis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eleusis Context triple: [Aeschylus, birthPlace, Eleusis]
-
A.
Eleusis
chosen
Eleusis was an ancient Greek city renowned as the center of the Eleusinian Mysteries, one of the most important secret religious cults of the classical world dedicated to Demeter and Persephone.
-
B.
Phaestis
Phaestis is known in some ancient biographical traditions as the mother of the Greek philosopher Aristotle.
-
C.
Delph
Delph is a historic village in the Saddleworth area of Greater Manchester, England, known for its Pennine landscape and former textile mills.
-
D.
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.
-
E.
Dodona
Dodona was an ancient Greek oracle and sanctuary in Epirus, renowned as one of the oldest religious sites dedicated to Zeus.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0495d0819097dc936540743b74 |
completed | March 7, 2026, 5:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae30748a7c81908ab3e08b7aa9900a |
completed | March 9, 2026, 2:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.