Triple
T18521353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Keleos |
E452590
|
entity |
| Predicate | associatedFigure |
P1183
|
FINISHED |
| Object | Keleos |
—
|
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: Keleos | Statement: [House of Keleos, associatedFigure, Keleos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keleos Context triple: [House of Keleos, associatedFigure, Keleos]
-
A.
Keleos
chosen
Keleos is a figure from Greek mythology, known as the king of Eleusis who hosted the goddess Demeter during her search for Persephone.
-
B.
Korenlei
Korenlei is a historic quay along the Leie River in Ghent, Belgium, known for its picturesque medieval guild houses and waterfront views.
-
C.
Phellos
Phellos was an ancient Lycian city-state known for its strategic location and role within the Lycian League in southwestern Anatolia.
-
D.
Lynceus
Lynceus is a figure in Greek mythology renowned as one of the Argonauts, famed for his exceptionally keen eyesight.
-
E.
Keles
Keles is a small town and district in northwestern Turkey known for its rural character and location within Bursa Province.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338e6e188190a41a4ee12c1ad330 |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.