Triple
T22818063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mata-Au |
E565152
|
entity |
| Predicate | dischargeRankInNewZealand |
P20912
|
FINISHED |
| Object | secondLargest |
—
|
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: secondLargest | Statement: [Mata-Au, dischargeRankInNewZealand, secondLargest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dischargeRankInNewZealand Context triple: [Mata-Au, dischargeRankInNewZealand, secondLargest]
-
A.
dischargeRank
Indicates the rank or status an individual held at the time they were discharged from a role, service, or organization.
-
B.
dischargeRanking
chosen
Indicates the relative level or position of an entity in an ordered list based on the amount or rate of discharge (such as emissions, effluents, or released substances).
-
C.
lengthRankingInNewZealand
Indicates the relative ordering of entities based on their length specifically within the context of New Zealand.
-
D.
rankInSizeInNewZealandIslands
Indicates the ordinal position of an island in New Zealand when ordered by size (e.g., largest, second largest, etc.).
-
E.
dischargeRankInNorthAmerica
Indicates the relative ranking of an entity based on its discharge (e.g., flow or output) compared to others within North America.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dce762c8190934fb921f942c9fd |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.