Triple
T1720499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ainslie |
E37377
|
entity |
| Predicate | hasLookoutType |
P31096
|
FINISHED |
| Object | scenic lookout |
—
|
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: scenic lookout | Statement: [Mount Ainslie, hasLookoutType, scenic lookout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLookoutType Context triple: [Mount Ainslie, hasLookoutType, scenic lookout]
-
A.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
B.
hasObserverType
Indicates that an entity is associated with a particular type or category of observer that monitors, views, or records it.
-
C.
hasLandscapeType
Indicates that an entity possesses or is characterized by a particular type or category of landscape.
-
D.
hasViewpointType
chosen
Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
-
E.
hasGreenType
Indicates that an entity possesses or is associated with a type classified as green.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.