Triple
T5351076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder Run |
E124178
|
entity |
| Predicate | outdoorSection |
P63194
|
FINISHED |
| Object | partial |
—
|
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: partial | Statement: [Thunder Run, outdoorSection, partial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outdoorSection Context triple: [Thunder Run, outdoorSection, partial]
-
A.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
B.
outdoorActivityType
Indicates the specific kind of outdoor activity associated with an entity or event.
-
C.
outdoorVenue
Indicates that an event, activity, or gathering takes place at a location situated outdoors rather than inside a building or enclosed structure.
-
D.
hasOutdoorFocus
Indicates a relationship where an entity is primarily concerned with, oriented toward, or specialized in outdoor environments, activities, or contexts.
-
E.
campCategory
Indicates the classification or type of camp to which an entity belongs (e.g., by purpose, style, or characteristics).
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd861188ac81908ef2b1f25cc6c864 |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2:01 p.m.