Triple
T6700181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Alps |
E152858
|
entity |
| Predicate | highestPointCountryRank |
P46619
|
FINISHED |
| Object | highest mountain in New Zealand |
—
|
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: highest mountain in New Zealand | Statement: [Southern Alps, highestPointCountryRank, highest mountain in New Zealand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPointCountryRank Context triple: [Southern Alps, highestPointCountryRank, highest mountain in New Zealand]
-
A.
countryHighestPointRank
chosen
Indicates the relative ranking of a country's highest natural elevation compared to the highest points of other countries.
-
B.
countryHighestPeaksRank
Indicates the relative ranking position of a country based on the heights of its highest peaks compared to those of other countries.
-
C.
countryOfHighestPoint
Indicates the country within whose territory a given location’s highest elevation point is found.
-
D.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
E.
highestPointRegion
Indicates that one location is the highest point within a specified region.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:05 p.m.