Triple
T18402864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whangārei Falls |
E450038
|
entity |
| Predicate | waterFlowsInto |
P36348
|
FINISHED |
| Object | Hātea River downstream |
—
|
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: Hātea River downstream | Statement: [Whangārei Falls, waterFlowsInto, Hātea River downstream]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterFlowsInto Context triple: [Whangārei Falls, waterFlowsInto, Hātea River downstream]
-
A.
flowsIntoBodyOfWaterAt
Indicates that one body of water moves or drains into another body of water at a specific location or point.
-
B.
inflowWatercourse
chosen
Indicates that one watercourse flows into or feeds another water body or watercourse.
-
C.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
D.
waterInput
Indicates that an entity receives or is supplied with water from another source or system.
-
E.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e519537eb88190bc85d21471e27c26 |
completed | April 19, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:46 a.m.