Triple
T22487840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AnitaB.org |
E555938
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | women-in-tech organization |
C22614
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: women-in-tech organization Context triple: [AnitaB.org, instanceOf, women-in-tech organization]
-
A.
women's educational organization
chosen
A women's educational organization is a group dedicated to advancing women's learning and development through programs, resources, and advocacy that promote equal access to educational opportunities.
-
B.
women's voluntary organization
A women's voluntary organization is a group formed and led primarily by women who collectively contribute their time, skills, and resources to advance social, cultural, educational, or charitable goals without financial compensation.
-
C.
women's organization section
A women's organization section is a dedicated subdivision within a larger entity that focuses on addressing women's interests, promoting gender equality, and coordinating activities and initiatives for female members.
-
D.
women’s religious organization
A women’s religious organization is a structured group of women who gather to practice, support, and promote their shared faith through worship, service, education, and community activities.
-
E.
Frauenorganisation
Eine Frauenorganisation ist eine organisierte Gruppe oder Institution, die sich gezielt für die Rechte, Interessen, Förderung und Unterstützung von Frauen in gesellschaftlichen, politischen, wirtschaftlichen oder kulturellen Bereichen einsetzt.
- F. None of above.
Provenance (1 batch)
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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
Created at: April 16, 2026, 8:49 p.m.