Triple
T38461141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Thousand Footer Committee |
E912455
|
entity |
| Predicate | promotesEthic |
P146416
|
FINISHED |
| Object | Leave No Trace principles |
—
|
NE NERFINISHED |
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: Leave No Trace principles | Statement: [Four Thousand Footer Committee, promotesEthic, Leave No Trace principles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promotesEthic Context triple: [Four Thousand Footer Committee, promotesEthic, Leave No Trace principles]
-
A.
ethicsActions
chosen
Indicates that an entity performs, promotes, or is involved in actions guided by ethical principles or moral standards.
-
B.
ethicsAssessment
Indicates that an entity has been evaluated or judged according to ethical principles, standards, or guidelines.
-
C.
basisOfEthics
Indicates that one entity serves as the foundational principle, source, or justification for another entity’s ethical views, norms, or system.
-
D.
functionInEthics
Indicates that something serves a particular role, purpose, or contribution within the domain of ethics or ethical theory.
-
E.
ethicalConnotation
Indicates that one entity is associated with a positive, negative, or otherwise specific moral or ethical evaluation in relation to another entity or context.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.