Triple
T37077656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Scout Promise |
E917754
|
entity |
| Predicate | substitutionPolicySetBy |
P94281
|
FINISHED |
| Object | Girl Scouts of the USA |
—
|
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: Girl Scouts of the USA | Statement: [Girl Scout Promise, substitutionPolicySetBy, Girl Scouts of the USA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: substitutionPolicySetBy Context triple: [Girl Scout Promise, substitutionPolicySetBy, Girl Scouts of the USA]
-
A.
policySetBy
chosen
Indicates that a particular policy is established, defined, or determined by a specific entity or authority.
-
B.
subPolicy
Indicates that one policy is a subordinate or component part of another, higher-level policy.
-
C.
changePolicy
Indicates that an entity modifies, replaces, or updates an existing policy governing rules, procedures, or behaviors.
-
D.
setsPolicyRate
Indicates that an entity determines and establishes the official policy interest rate applied within a monetary or regulatory framework.
-
E.
replacedPolicyApproach
Indicates that one policy approach has been superseded and taken the place of another policy approach.
- 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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.