Triple
T23768760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomson Mountains |
E587461
|
entity |
| Predicate | formsPartOfLandscapeAround |
P45658
|
FINISHED |
| Object | Lake Wakatipu |
—
|
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: Lake Wakatipu | Statement: [Thomson Mountains, formsPartOfLandscapeAround, Lake Wakatipu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsPartOfLandscapeAround Context triple: [Thomson Mountains, formsPartOfLandscapeAround, Lake Wakatipu]
-
A.
isPartOfScenicVista
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
B.
landscapeElement
chosen
Indicates that one entity functions as a landscape-related feature or component in relation to another entity.
-
C.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
-
D.
tourEnvironment
Indicates that an entity conducts or participates in a tour within a particular environment or setting.
-
E.
locatedWithinNationalLandscape
Indicates that one entity is geographically situated inside the boundaries of a designated national landscape area.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c46507708190b0beba7f2b4d0bca |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.