Triple
T27733781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.ValueTuple |
E697486
|
entity |
| Predicate | isLightweightTuple |
P33279
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [System.ValueTuple, isLightweightTuple, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLightweightTuple Context triple: [System.ValueTuple, isLightweightTuple, true]
-
A.
isLightweight
chosen
Indicates that an entity has a relatively low weight or mass compared to typical or alternative entities.
-
B.
isCompact
Indicates that an object or space has a small, efficiently arranged size or volume relative to its function or contents.
-
C.
isTight
Indicates that one entity fits closely or securely around, against, or within another without looseness or extra space.
-
D.
isSimple
Indicates that something has a straightforward, uncomplicated nature or structure, lacking complexity or elaboration.
-
E.
isT1
Indicates that one entity is classified or designated as type T1 in relation to another entity or context.
- F. None of above.
Provenance (3 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369e16a08190853fdd8ac05800f6 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 3:12 p.m.