Triple
T1906930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegean islands |
E38024
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Skiathos |
E73686
|
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: Skiathos | Statement: [Aegean islands, contains, Skiathos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skiathos Context triple: [Aegean islands, contains, Skiathos]
-
A.
Skiathos
chosen
Skiathos is a small Greek island in the northwest Aegean Sea, renowned for its sandy beaches, pine forests, and vibrant tourist resorts.
-
B.
Skopelos
Skopelos is a Greek island in the western Aegean Sea, known for its lush pine forests, traditional whitewashed villages, and scenic beaches.
-
C.
Mykonos
Mykonos is a popular Greek island in the Cyclades known for its whitewashed architecture, vibrant nightlife, and picturesque beaches.
-
D.
Zakynthos
Zakynthos is a Greek island in the Ionian Sea known for its stunning beaches, clear blue waters, and dramatic coastal cliffs.
-
E.
Paros
Paros is a popular Greek island in the central Aegean known for its traditional Cycladic villages, beaches, and marble quarries.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b44174819084fa06faf1930221 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef07752c48190ad74d87ad232b60c |
completed | March 9, 2026, 4:08 p.m. |
Created at: March 4, 2026, 7:35 p.m.