Triple
T6041364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Wakatipu |
E134551
|
entity |
| Predicate | rankBySizeInNewZealand |
P31652
|
FINISHED |
| Object | third-largest lake by surface area |
—
|
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: third-largest lake by surface area | Statement: [Lake Wakatipu, rankBySizeInNewZealand, third-largest lake by surface area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankBySizeInNewZealand Context triple: [Lake Wakatipu, rankBySizeInNewZealand, third-largest lake by surface area]
-
A.
rankInSizeInNewZealandIslands
Indicates the ordinal position of an island in New Zealand when ordered by size (e.g., largest, second largest, etc.).
-
B.
lengthRankingInNewZealand
Indicates the relative ordering of entities based on their length specifically within the context of New Zealand.
-
C.
relativeSizeComparedToNorthIsland
Indicates how the size of something compares to that of the North Island.
-
D.
rankingInCountryBySize
chosen
Indicates the position of an entity in an ordered list of entities within a specific country, based on their relative size.
-
E.
rankBySize
Indicates that entities are ordered or compared based on their size.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056d11370819096ac35349bd91f4e |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.