Triple
T11370756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Scout Silver Award |
E269333
|
entity |
| Predicate | maximumTeamSize |
P3668
|
FINISHED |
| Object | 4 Girl Scouts (typical GSUSA guideline) |
—
|
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: 4 Girl Scouts (typical GSUSA guideline) | Statement: [Girl Scout Silver Award, maximumTeamSize, 4 Girl Scouts (typical GSUSA guideline)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumTeamSize Context triple: [Girl Scout Silver Award, maximumTeamSize, 4 Girl Scouts (typical GSUSA guideline)]
-
A.
typicalTeamSize
chosen
Indicates the usual or most common number of members that make up a given team.
-
B.
maximumScholarshipsPerTeam
Indicates the highest number of scholarships that any single team is allowed to award or hold.
-
C.
qualifiedTeamsCount
Indicates the number of teams that have successfully met the criteria to qualify for a given stage, event, or competition.
-
D.
rosterSize
Indicates the total number of individuals included on a given roster.
-
E.
collaborationSize
Indicates the number of participants involved together in a given collaborative relationship or activity.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.