Triple
T36553910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris Burn waterfall |
E901644
|
entity |
| Predicate | accessPointTown |
P186195
|
FINISHED |
| Object | Te Anau |
—
|
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: Te Anau | Statement: [Iris Burn waterfall, accessPointTown, Te Anau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessPointTown Context triple: [Iris Burn waterfall, accessPointTown, Te Anau]
-
A.
accessTown
Indicates that an entity has the ability or permission to enter or make use of a particular town.
-
B.
accessPointRegion
Indicates the geographic or spatial region within which a given access point is located or operates.
-
C.
countryOfAccessTown
Indicates the country in which the specified town providing access (e.g., to a service, resource, or location) is located.
-
D.
isAccessPointOf
Indicates that one entity serves as an access point or entry interface through which another entity can be reached, used, or connected to.
-
E.
regionOfTown
Indicates that one entity is a specific area or district that forms part of a town.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:11 p.m.