Triple
T10380292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saronic Islands |
E244620
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Aegina town |
E720304
|
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: Aegina town | Statement: [Saronic Islands, hasMajorPort, Aegina town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegina town Context triple: [Saronic Islands, hasMajorPort, Aegina town]
-
A.
Aegina Town
chosen
Aegina Town is the main port and capital of the Greek island of Aegina, known for its waterfront, neoclassical architecture, and role as a popular Saronic Gulf tourist destination.
-
B.
Aegina
Aegina is a Greek island in the Saronic Gulf, historically significant as a maritime power and cultural center in ancient Greece.
-
C.
Aegina
Aegina is a figure in Greek mythology, a daughter of the river god Asopus and the nymph Metope, and the eponymous nymph of the island of Aegina.
-
D.
Nafpaktos
Nafpaktos is a historic coastal town in western Greece, known for its picturesque harbor, Venetian castle, and its role in the 1571 Battle of Lepanto.
-
E.
Elassona
Elassona is a town and municipality in central Greece, situated at the foot of Mount Olympus in the Thessaly region.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e991056c8190a981f717c51f1f72 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fba398b88190ae3223218bf53ca7 |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, 12:03 p.m.