Triple
T9478961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British colonisation of New Zealand |
E228582
|
entity |
| Predicate | landImpact |
P11752
|
FINISHED |
| Object | large-scale alienation of Māori land |
—
|
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: large-scale alienation of Māori land | Statement: [British colonisation of New Zealand, landImpact, large-scale alienation of Māori land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landImpact Context triple: [British colonisation of New Zealand, landImpact, large-scale alienation of Māori land]
-
A.
humanImpact
chosen
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
B.
landUseChangeTo
Indicates a transition in how a piece of land is used, from its previous use to a new designated use.
-
C.
land
Indicates coming down from the air or a higher position to make contact with and settle on a surface.
-
D.
rainfallImpact
Indicates how rainfall influences or alters the condition, behavior, or outcome of a target entity or process.
-
E.
landPolicy
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8014fd0c819093bd15816f3db357 |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:54 p.m.