Triple
T15535430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DK Mountain |
E370326
|
entity |
| Predicate | trackEnvironment |
P853
|
FINISHED |
| Object | outdoor |
—
|
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: outdoor | Statement: [DK Mountain, trackEnvironment, outdoor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackEnvironment Context triple: [DK Mountain, trackEnvironment, outdoor]
-
A.
navigationEnvironment
Indicates the contextual conditions or surroundings in which navigation or movement from one place to another occurs.
-
B.
trackSystem
Indicates a relationship where one entity monitors, records, or follows the status, behavior, or changes of another entity within a system.
-
C.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
D.
positionOnEnvironment
Indicates the spatial placement or location of an entity relative to a surrounding environment or surface.
-
E.
launchEnvironment
Indicates the specific context, configuration, or setting in which a launch or deployment action takes place.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.