Triple
T16120887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paxos municipality |
E391133
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Antipaxos |
—
|
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: Antipaxos | Statement: [Paxos municipality, hasIsland, Antipaxos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antipaxos Context triple: [Paxos municipality, hasIsland, Antipaxos]
-
A.
Antipaxos
chosen
Antipaxos is a small Greek island in the Ionian Sea, known for its crystal-clear waters, sandy beaches, and vineyards.
-
B.
Amorgos
Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
-
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.
Aegina
Aegina is a character from the television series "Spartacus," depicted as a courtesan and political player entangled in the power struggles of ancient Rome.
-
E.
Aegina
Aegina is a Greek island in the Saronic Gulf, historically significant as a maritime power and cultural center in ancient Greece.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020198908190b56900cbfc53f25c |
completed | April 17, 2026, 9:48 a.m. |
Created at: April 10, 2026, 5 a.m.