Triple
T1336010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asclepius |
E28749
|
entity |
| Predicate | majorSanctuary |
P5445
|
FINISHED |
| Object | Kos |
E74968
|
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: Kos | Statement: [Asclepius, majorSanctuary, Kos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kos Context triple: [Asclepius, majorSanctuary, Kos]
-
A.
Kos
chosen
Kos is a Greek island in the southeastern Aegean Sea known for its sandy beaches, ancient ruins, and vibrant tourism.
-
B.
Milos
Milos is a volcanic Greek island in the southwestern Cyclades, renowned for its dramatic coastal landscapes, colorful rock formations, and numerous beaches.
-
C.
Leros
Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
-
D.
Ikaria
Ikaria is a Greek island in the eastern Aegean Sea known for its rugged landscape, traditional lifestyle, and the exceptional longevity of its inhabitants.
-
E.
Skiros
Skiros is a Greek island in the central Aegean Sea, known for its traditional villages, rugged coastline, and distinctive local culture.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1ecb5208190a9eadda113c91e66 |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde12d0dc81908a09c0221b8db3f6 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:55 p.m.