Triple
T4573452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francois Pienaar |
E123088
|
entity |
| Predicate | numberOfTestCaps |
P57796
|
FINISHED |
| Object | 29 |
—
|
LITERAL FINISHED |
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: 29 | Statement: [Francois Pienaar, numberOfTestCaps, 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTestCaps Context triple: [Francois Pienaar, numberOfTestCaps, 29]
-
A.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
B.
plannedNumberOfTests
Indicates the total count of tests that are intended or scheduled to be conducted for a given context or period.
-
C.
testCaps
Indicates that an entity is being tested or evaluated for its capacity, capability, or limits in relation to another entity or context.
-
D.
numberOfSuites
Indicates the total count of suites associated with or contained within a given entity.
-
E.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
- F. None of above. chosen
Provenance (4 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.