Triple
T4331606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heptanese |
E96762
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kefalonia |
E89181
|
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: Kefalonia | Statement: [Heptanese, hasPart, Kefalonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kefalonia Context triple: [Heptanese, hasPart, Kefalonia]
-
A.
Kefalonia
chosen
Kefalonia is a large Greek island in the Ionian Sea known for its dramatic limestone cliffs, clear turquoise waters, and picturesque villages.
-
B.
Zakynthos
Zakynthos is a Greek island in the Ionian Sea known for its stunning beaches, clear blue waters, and dramatic coastal cliffs.
-
C.
Lefkada
Lefkada is a Greek island in the Ionian Sea known for its dramatic cliffs, turquoise waters, and popular beaches such as Porto Katsiki and Egremni.
-
D.
Corfu
Corfu is a Greek island in the Ionian Sea known for its lush landscapes, Venetian-influenced architecture, and rich cultural history.
-
E.
Skopelos
Skopelos is a Greek island in the western Aegean Sea, known for its lush pine forests, traditional whitewashed villages, and scenic beaches.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6f845ce48190a5feae21980530d6 |
completed | March 21, 2026, 10:14 a.m. |
Created at: March 12, 2026, 11:13 p.m.