Triple
T32298130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mataatua |
E825158
|
entity |
| Predicate | landfallPlace |
P173940
|
FINISHED |
| Object | Whakatāne |
—
|
NE NERFINISHED |
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: Whakatāne | Statement: [Mataatua, landfallPlace, Whakatāne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landfallPlace Context triple: [Mataatua, landfallPlace, Whakatāne]
-
A.
landfallLocation
Indicates the geographic location where a storm or similar weather system first makes landfall.
-
B.
isLandfallOf
Indicates that a particular event or location is the point or instance where something (typically a storm, cyclone, or similar phenomenon) comes ashore from a body of water onto land.
-
C.
landingPlace
Indicates the location or surface where something or someone comes down to rest after moving through the air or space.
-
D.
landedNear
Indicates that one entity has come to rest on a surface or location in close proximity to another specified entity or reference point.
-
E.
madeLandfallAt
Indicates that a storm or similar weather system has come ashore at a specific geographic location.
- F. None of above. chosen
Provenance (4 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd6dd11c819093d60e0fa901799c |
completed | May 3, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:44 a.m.