Triple
T12319708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oropos |
E293694
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Euboea |
E19749
|
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: Euboea | Statement: [Oropos, hasNearbyIsland, Euboea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euboea Context triple: [Oropos, hasNearbyIsland, Euboea]
-
A.
Euboea
chosen
Euboea is the second-largest Greek island, located off the eastern coast of mainland Greece in the Aegean Sea.
-
B.
Chios
Chios is a Greek island in the eastern Aegean Sea, known for its medieval villages, mastic production, and rich maritime history.
-
C.
Lesbos
Lesbos is a large Greek island in the northeastern Aegean Sea, known for its rich ancient history, distinctive culture, and association with the poet Sappho.
-
D.
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.
-
E.
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.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4c2b548190938fff9427f07dc7 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671837a5c81908a7f41ac7e2bef59 |
completed | May 2, 2026, 9:49 p.m. |
Created at: April 8, 2026, 9:53 p.m.