Triple
T21923592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesches of Pyrrha |
E541381
|
entity |
| Predicate | placeOfOrigin |
P3743
|
FINISHED |
| Object | Pyrrha |
—
|
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: Pyrrha | Statement: [Lesches of Pyrrha, placeOfOrigin, Pyrrha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyrrha Context triple: [Lesches of Pyrrha, placeOfOrigin, Pyrrha]
-
A.
Pyrrha
chosen
Pyrrha is a figure in Greek mythology best known as the wife of Deucalion and one of the two survivors of the great flood sent by Zeus.
-
B.
Pylia
Pylia is a figure in Greek mythology known primarily as the mother of Aegeus, the legendary king of Athens and father of Theseus.
-
C.
Korrina
Korrina is a Fighting-type Gym Leader from the Kalos region in the Pokémon series, known for her roller skates and partnership with the Mega-Evolving Lucario.
-
D.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
E.
Tenea
Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233dc504819083ee27e253805189 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.