Triple
T1901907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Cliffs of Dover |
E37706
|
entity |
| Predicate | cliffType |
P11724
|
FINISHED |
| Object | vertical sea cliff |
—
|
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: vertical sea cliff | Statement: [White Cliffs of Dover, cliffType, vertical sea cliff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cliffType Context triple: [White Cliffs of Dover, cliffType, vertical sea cliff]
-
A.
climbedFeatureType
Indicates that an entity has climbed or ascended a particular type of physical feature (such as a mountain, wall, or similar structure).
-
B.
hasCliffs
Indicates that something possesses or is characterized by the presence of cliffs.
-
C.
hasCliff
chosen
Indicates that something possesses or features a steep, high rock face or abrupt vertical drop as part of its structure or environment.
-
D.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
E.
mountainRangeType
Indicates the classification or category of a mountain range based on its geological or geographical type.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.