Triple
T32617508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsakalonisi |
E833829
|
entity |
| Predicate | maritimeCountry |
P144962
|
FINISHED |
| Object | Greece |
—
|
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: Greece | Statement: [Tsakalonisi, maritimeCountry, Greece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritimeCountry Context triple: [Tsakalonisi, maritimeCountry, Greece]
-
A.
oceanCountry
Indicates that a country has a coastline on, borders, or is otherwise directly adjacent to a specified ocean.
-
B.
navalCountry
Indicates that a country possesses or operates a navy, signifying its involvement in naval or maritime military activities.
-
C.
nauticalRegion
Indicates that one entity is a maritime or nautical area within which the other entity is located, operates, or is relevant.
-
D.
neighboringCountryBySea
Indicates that one country is adjacent to another with their territories touching via a shared sea boundary rather than solely by land.
-
E.
hasCountryCoastlineOn
chosen
Indicates that a country has a coastline bordering a specified body of water or sea.
- F. None of above.
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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:06 a.m.