Triple
T28615549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellipse |
E724264
|
entity |
| Predicate | returnValueMeaning |
P171465
|
FINISHED |
| Object | nonzero if successful |
—
|
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: nonzero if successful | Statement: [Ellipse, returnValueMeaning, nonzero if successful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnValueMeaning Context triple: [Ellipse, returnValueMeaning, nonzero if successful]
-
A.
parameterMeaning
Indicates that one entity specifies the semantic meaning, role, or purpose of a parameter associated with another entity.
-
B.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
C.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
D.
typicalMeaning
Indicates that something represents the usual, characteristic, or most common meaning or interpretation associated with something else.
-
E.
hasMean
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 28, 2026, 4:31 a.m.