Triple
T19028425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitroplateia Beach |
E465670
|
entity |
| Predicate | hasSeaCharacteristics |
P13023
|
FINISHED |
| Object | calm waters |
—
|
LITERAL 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: calm waters | Statement: [Kitroplateia Beach, hasSeaCharacteristics, calm waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaCharacteristics Context triple: [Kitroplateia Beach, hasSeaCharacteristics, calm waters]
-
A.
hasCoastalCharacteristic
Indicates that an entity possesses a feature, quality, or condition specifically related to coastal or shoreline environments.
-
B.
hasMaritimeFeature
Indicates that one entity possesses, contains, or is characterized by a maritime-related feature such as a sea, coast, harbor, or other oceanic element.
-
C.
hasWaterCharacteristics
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
D.
hasSeaCondition
chosen
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
-
E.
hasWaterBodyCharacteristic
Indicates that a water body possesses a specified physical, chemical, or ecological characteristic.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73ec9088190a98e214bd56e8622 |
completed | April 20, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.