Triple
T22499180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Certbot |
E556222
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | EFF |
—
|
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: EFF | Statement: [Certbot, developer, EFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFF Context triple: [Certbot, developer, EFF]
-
A.
EFF
chosen
EFF is a leading nonprofit organization that defends civil liberties, privacy, and free expression in the digital world.
-
B.
EF
EF is the commonly used abbreviation for the Eclipse Foundation, a nonprofit organization that oversees open-source software projects and the Eclipse IDE ecosystem.
-
C.
EF
EF is the commonly used abbreviation for the Ethereum Foundation, the nonprofit organization that supports the development and growth of the Ethereum blockchain ecosystem.
-
D.
EF
EF is the vehicle registration code used on license plates for the German city of Erfurt.
-
E.
EFDD
EFDD is a former eurosceptic political group in the European Parliament that brought together parties critical of European Union integration and supportive of national sovereignty and direct democracy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb3deb88190874230ae06a352d6 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.