Triple
T15115897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mytikas |
E361037
|
entity |
| Predicate | nearbySummit |
P101565
|
FINISHED |
| Object | Skala |
E1032112
|
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: Skala | Statement: [Mytikas, nearbySummit, Skala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skala Context triple: [Mytikas, nearbySummit, Skala]
-
A.
Skala
Skala is a coastal village and popular tourist resort on the Greek island of Agistri, known for its beaches, hotels, and ferry connections.
-
B.
Skala
Skala is the main port town and one of the primary settlements on the Greek island of Patmos, known for its harbor, waterfront promenade, and role as the island’s commercial and transportation hub.
-
C.
Skala
Skala is a coastal village and popular tourist resort located on the southeastern tip of the Greek island of Kefalonia.
-
D.
Skala
Skala is a surname most notably associated with Austrian-American actress and architect Lilia Skala.
-
E.
Skala
chosen
Skala is one of the main summits of Mount Olympus in Greece, known as a common waypoint for climbers heading toward the mountain’s highest peak.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eee6e8819092657c4006456135 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.