Triple
T11478029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Scout Cadette |
E272071
|
entity |
| Predicate | hasLeadershipRoleOpportunities |
P18841
|
FINISHED |
| Object | patrol leader |
—
|
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: patrol leader | Statement: [Girl Scout Cadette, hasLeadershipRoleOpportunities, patrol leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeadershipRoleOpportunities Context triple: [Girl Scout Cadette, hasLeadershipRoleOpportunities, patrol leader]
-
A.
hasDevelopmentOpportunity
chosen
Indicates that an entity offers or possesses a potential for growth, improvement, or advancement, typically in skills, performance, or capabilities.
-
B.
hasTypeOfLeadership
Indicates that an entity possesses or is characterized by a specific style or form of leadership.
-
C.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
D.
roleInExecutive
Indicates that an entity holds a specific position or function within an executive body or leadership structure.
-
E.
hasTrainingRole
Indicates that an entity holds or is assigned a specific role within a training or instructional 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294e0fe08190b018e840146e27ca |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.