Triple
T35835549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bessie Coleman |
E1035923
|
entity |
| Predicate | licenseObtainedFrom |
P148842
|
FINISHED |
| Object | Fédération Aéronautique Internationale |
—
|
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: Fédération Aéronautique Internationale | Statement: [Bessie Coleman, licenseObtainedFrom, Fédération Aéronautique Internationale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licenseObtainedFrom Context triple: [Bessie Coleman, licenseObtainedFrom, Fédération Aéronautique Internationale]
-
A.
licenceBuiltFrom
Indicates that a licence is derived from, based on, or constructed using another underlying licence or licensing framework.
-
B.
licenseBuiltBy
chosen
Indicates that a license was created, issued, or constructed by a specific agent or organization.
-
C.
licenseFor
Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
-
D.
licenseManufacturerOf
Indicates that one entity is authorized, via a license, to manufacture products or goods on behalf of or under the rights of another entity.
-
E.
licenseBuiltFrom
Indicates that a license is derived from, or constructed based on, another underlying license or licensing template.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:06 p.m.