Triple
T2992320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grose Valley |
E80783
|
entity |
| Predicate | hasLookoutRim |
P29932
|
FINISHED |
| Object | cliffs near Blackheath |
—
|
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: cliffs near Blackheath | Statement: [Grose Valley, hasLookoutRim, cliffs near Blackheath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLookoutRim Context triple: [Grose Valley, hasLookoutRim, cliffs near Blackheath]
-
A.
hasLookout
Indicates that one entity serves as a lookout or watchful observer for another entity, monitoring for potential events, threats, or changes.
-
B.
hasRim
chosen
Indicates that one entity possesses or is equipped with a rim as a defining part or feature.
-
C.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
D.
canBeSeenWith
Indicates that two entities are observable together in the same context, setting, or time.
-
E.
hasOutdoorFocus
Indicates a relationship where an entity is primarily concerned with, oriented toward, or specialized in outdoor environments, activities, or contexts.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.