Triple
T15201465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kastani Beach |
E363277
|
entity |
| Predicate | hasShoreSlope |
P112213
|
FINISHED |
| Object | gentle entry into the sea |
—
|
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: gentle entry into the sea | Statement: [Kastani Beach, hasShoreSlope, gentle entry into the sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShoreSlope Context triple: [Kastani Beach, hasShoreSlope, gentle entry into the sea]
-
A.
hasBeachSlope
chosen
Indicates that a location or coastal area possesses a particular gradient or steepness of its beach surface.
-
B.
hasShoreOn
Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
-
C.
hasShoreFeature
Indicates that a shore or coastline possesses a specific physical or environmental feature.
-
D.
hasShoreOrientation
Indicates the directional orientation of a shoreline relative to a reference frame (e.g., compass direction or facing).
-
E.
shoreHas
Indicates that a shore possesses, contains, or is characterized by a particular feature, object, or attribute.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.