Triple
T18221921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Posit Workbench |
E436327
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Posit |
—
|
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: Posit | Statement: [Posit Workbench, developer, Posit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Posit Context triple: [Posit Workbench, developer, Posit]
-
A.
Posit
chosen
Posit is a data science and analytics software company best known for developing and supporting the RStudio integrated development environment and related open-source and enterprise tools.
-
B.
Positron
A positron is the antimatter counterpart of the electron, identical in mass but carrying a positive electric charge.
-
C.
Posdnuos
Posdnuos is an American rapper, producer, and founding member of the influential hip hop group De La Soul.
-
D.
Poson
Poson is a major Sri Lankan Buddhist festival that commemorates the introduction of Buddhism to the island, marked by religious observances, pilgrimages, and cultural celebrations.
-
E.
Signum
Signum is a Swiss train protection and signaling system used to enhance the safety and control of railway operations.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47c85108190bd9707b40bdfdb38 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.