Triple
T17561227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ST_Within |
E427698
|
entity |
| Predicate | argumentCount |
P127965
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [ST_Within, argumentCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: argumentCount Context triple: [ST_Within, argumentCount, 2]
-
A.
parameterCount
Indicates the number of parameters associated with a given function, method, or callable entity.
-
B.
argumentPosition
Indicates the specific syntactic or semantic slot an argument occupies within a predicate or expression (e.g., subject, object, or other ordered position).
-
C.
argumentType
Indicates that one entity serves as a specific semantic or syntactic argument role (such as subject, object, or complement) in relation to another entity or event.
-
D.
argumentStructure
Indicates how the participants or arguments of an event or action are organized and related to the predicate in a linguistic or logical structure.
-
E.
hasArgument
Indicates that one entity serves as an argument (such as an input, parameter, or participant) in relation to another entity, typically a function, event, or statement.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.