Triple
T18695833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ithaca |
E457112
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | Vathy |
—
|
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: Vathy | Statement: [Ithaca, largestSettlement, Vathy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vathy Context triple: [Ithaca, largestSettlement, Vathy]
-
A.
Vathy
Vathy is a picturesque coastal village on the Greek island of Kalymnos, known for its sheltered fjord-like bay, traditional houses, and tranquil harbor.
-
B.
Vathy
Vathy is a coastal town on the Greek island of Samos known for its natural harbor, neoclassical architecture, and role as a local administrative and cultural center.
-
C.
Vathy
Vathy is a coastal village on the Greek island of Aegina, known for its traditional character and proximity to the Saronic Gulf.
-
D.
Vathy
Vathy is a coastal village and harbor on the Greek island of Meganisi in the Ionian Sea.
-
E.
Vathy
chosen
Vathy is the main town and administrative center of the Greek island of Ithaca, known for its sheltered harbor and traditional Ionian architecture.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e775408190996b4c613b83f185 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.