Triple
T15254713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redfield Mountain |
E364615
|
entity |
| Predicate | typicalTrailConditions |
P117784
|
FINISHED |
| Object | muddy |
—
|
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: muddy | Statement: [Redfield Mountain, typicalTrailConditions, muddy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTrailConditions Context triple: [Redfield Mountain, typicalTrailConditions, muddy]
-
A.
hasTrailDifficulty
Indicates the level of challenge or effort required to traverse a particular trail or route.
-
B.
hasClimbingConditions
Indicates that specific environmental or situational conditions suitable for climbing are present or associated with something.
-
C.
typicalExpeditionMode
Indicates the usual or most common mode or method by which an expedition is conducted.
-
D.
typicalSnowDifficulty
Indicates the usual or characteristic level of difficulty associated with snow conditions for an activity, route, or location.
-
E.
isHikingTrail
Indicates that a path or route is designated and used specifically for hiking activities.
- F. None of above. chosen
Provenance (4 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.