Triple
T37077597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl Scouts of the USA in Savannah, Georgia |
E917753
|
entity |
| Predicate | founderBirthplaceOf |
P121215
|
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 Scouts of the USA in Savannah, Georgia, founderBirthplaceOf, Girl Scouts of the USA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderBirthplaceOf Context triple: [Girl Scouts of the USA in Savannah, Georgia, founderBirthplaceOf, Girl Scouts of the USA]
-
A.
founderBirthPlace
chosen
Indicates the place where the founder of an entity was born.
-
B.
founderBirthName
Indicates the original personal name given at birth to the individual who founded an organization or entity.
-
C.
founderBirthYear
Indicates the year in which the founder of an entity was born.
-
D.
founderNationality
Indicates that the specified person’s country of origin or citizenship is the one associated with the founder in question.
-
E.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
- 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_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: May 3, 2026, 4:14 p.m.