Triple
T16015106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scenic World |
E388444
|
entity |
| Predicate | walkwayEnvironment |
P83965
|
FINISHED |
| Object | temperate rainforest |
—
|
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: temperate rainforest | Statement: [Scenic World, walkwayEnvironment, temperate rainforest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: walkwayEnvironment Context triple: [Scenic World, walkwayEnvironment, temperate rainforest]
-
A.
roadEnvironment
Indicates that the relationship or action occurs within, is influenced by, or is specifically associated with a road or roadway environment.
-
B.
walkThrough
Indicates moving through or along the interior or extent of something, typically traversing a space or environment from one side or point to another.
-
C.
hasPedestrianEnvironment
chosen
Indicates that a location or area provides facilities, conditions, or features suitable for pedestrian use and movement.
-
D.
hasWalkwayPosition
Indicates the spatial or relative position of an entity along or within a walkway.
-
E.
navigationEnvironment
Indicates the contextual conditions or surroundings in which navigation or movement from one place to another occurs.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.