Triple
T29753078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad River Glen |
E752953
|
entity |
| Predicate | environmentalStance |
P123708
|
FINISHED |
| Object | environmental conservation emphasis |
—
|
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: environmental conservation emphasis | Statement: [Mad River Glen, environmentalStance, environmental conservation emphasis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentalStance Context triple: [Mad River Glen, environmentalStance, environmental conservation emphasis]
-
A.
environmentalAttitude
chosen
Indicates a stance, opinion, or orientation an entity holds toward environmental protection, conservation, or ecological issues.
-
B.
environmentalCommitment
Indicates a relationship where an entity demonstrates dedication to protecting or improving the environment through its policies, actions, or practices.
-
C.
environmentalFocus
Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
-
D.
environmentalReputation
Indicates the perceived quality or standing of an entity’s environmental practices, impact, or responsibility.
-
E.
shareEnvironmentalPolicy
Indicates that two or more entities have the same or closely aligned environmental policy or stance.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 7:55 p.m.