Triple
T21547532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castello Rosso |
E531664
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Karystos |
—
|
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: Karystos | Statement: [Castello Rosso, locatedIn, Karystos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karystos Context triple: [Castello Rosso, locatedIn, Karystos]
-
A.
Karystos
chosen
Karystos is a coastal town on the southern tip of the Greek island of Euboea, known for its natural harbor, marble quarries, and archaeological remains.
-
B.
Karyes
Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
-
C.
Elatochori
Elatochori is a mountain village and popular ski resort area in the Pieria regional unit of northern Greece.
-
D.
Ambelokipi
Ambelokipi is a central neighborhood in Athens, Greece, known for its dense urban character, major avenues, and proximity to key commercial and administrative areas.
-
E.
Sidirokastro
Sidirokastro is a historic town in northern Greece known for its medieval castle and strategic location near the Bulgarian border.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58fb6608190a58cd00ecf560834 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.