Triple
T8334330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy Scouts of America (National Council) |
E195148
|
entity |
| Predicate | admittedGirlsToScoutsBSA |
P12173
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Boy Scouts of America (National Council), admittedGirlsToScoutsBSA, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admittedGirlsToScoutsBSA Context triple: [Boy Scouts of America (National Council), admittedGirlsToScoutsBSA, 2019]
-
A.
admittedWomen
chosen
Indicates that an entity allowed or accepted women into a place, group, institution, or event.
-
B.
admittedCadetsAged
Indicates that an institution has admitted cadets who are of a specified age or within a specified age range.
-
C.
admittedStudents
Indicates that certain students have been officially accepted or granted admission to an institution, program, or course.
-
D.
admissionGender
Indicates the gender-based criteria or classification applied in the context of admission or entry decisions.
-
E.
admissionsBasedOn
Indicates that acceptance or entry decisions are determined according to specified criteria, factors, or conditions.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fbe61f481909cde8ab2c42f89fc |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.