Triple
T16442536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngatea |
E399338
|
entity |
| Predicate | drainageHistory |
P63074
|
FINISHED |
| Object | developed from drained wetlands of the Hauraki Plains |
—
|
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: developed from drained wetlands of the Hauraki Plains | Statement: [Ngatea, drainageHistory, developed from drained wetlands of the Hauraki Plains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageHistory Context triple: [Ngatea, drainageHistory, developed from drained wetlands of the Hauraki Plains]
-
A.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
B.
causeOfDrainage
Indicates the factor or process that leads to or is responsible for the drainage of a substance, area, or system.
-
C.
drainageResult
chosen
Indicates the outcome or effect produced by a drainage process or activity.
-
D.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
-
E.
drainageMaintainedBy
Indicates that the upkeep, operation, or management of a drainage system is performed or overseen by a specified agent or organization.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.