Triple
T37934871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyndham, Western Australia |
E946318
|
entity |
| Predicate | fiveRiversLookoutViews |
P9193
|
FINISHED |
| Object | Ord River |
—
|
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: Ord River | Statement: [Wyndham, Western Australia, fiveRiversLookoutViews, Ord River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiveRiversLookoutViews Context triple: [Wyndham, Western Australia, fiveRiversLookoutViews, Ord River]
-
A.
towerViews
Indicates that a tower provides a view of, or overlooks, a particular place or object.
-
B.
riverPanorama
Indicates a wide, scenic view or visual representation that prominently features a river and its surrounding landscape.
-
C.
hasScenicViewpoints
Indicates that something includes or provides locations specifically intended for enjoying scenic or panoramic views.
-
D.
hasScenicViewOf
chosen
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
E.
directionInFiveGreatMountains
Indicates the relative directional position of something within the traditional schema of the Five Great Mountains (Wuyue), specifying which cardinal mountain/direction it corresponds to.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.