Triple
T6219059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nā Pali Coast |
E139064
|
entity |
| Predicate | hasHighestCliffsApproxHeight |
P18448
|
FINISHED |
| Object | up to about 1,200 meters |
—
|
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: up to about 1,200 meters | Statement: [Nā Pali Coast, hasHighestCliffsApproxHeight, up to about 1,200 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighestCliffsApproxHeight Context triple: [Nā Pali Coast, hasHighestCliffsApproxHeight, up to about 1,200 meters]
-
A.
highestElevationApprox
Indicates that an entity has an approximate value for the maximum elevation reached within its spatial or conceptual extent.
-
B.
hasCliffsOn
Indicates that one entity possesses or features cliffs located along or on the surface of another entity.
-
C.
hasCliffHeight
chosen
Indicates the relationship between a cliff and the measurement of its vertical height.
-
D.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
E.
hasCliffs
Indicates that something possesses or is characterized by the presence of cliffs.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a481908190a1418d9fcfaf8137 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.