Triple
T27736044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ThreadStart |
E697530
|
entity |
| Predicate | hasParameterCount |
P21071
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [ThreadStart, hasParameterCount, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParameterCount Context triple: [ThreadStart, hasParameterCount, 0]
-
A.
parameterCount
chosen
Indicates the number of parameters associated with a given function, method, or callable entity.
-
B.
hasParameter
Indicates that an entity is associated with a specific parameter that defines or constrains some aspect of its behavior, configuration, or characteristics.
-
C.
hasMethodCount
Indicates that an entity is associated with a specific number of methods it contains or defines.
-
D.
hasParameterization
Indicates that one entity serves as the specific parameterization or parameter-setting scheme used to define or configure another entity.
-
E.
parameterCountRelativeTo
Indicates a relationship comparing the number of parameters of one entity (such as a function, method, or operation) to that of another entity.
- 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_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 27, 2026, 3:12 p.m.