Triple
T26991367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handle-Body pattern |
E679868
|
entity |
| Predicate | typicalBodyRole |
P18942
|
FINISHED |
| Object | stores internal state |
—
|
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: stores internal state | Statement: [Handle-Body pattern, typicalBodyRole, stores internal state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBodyRole Context triple: [Handle-Body pattern, typicalBodyRole, stores internal state]
-
A.
typicalRole
chosen
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
B.
typicalAdditionalRole
Indicates that an entity commonly or characteristically holds an extra role or function in addition to its primary one.
-
C.
designatesBodyRole
Indicates that one entity assigns or specifies an official role, function, or position for a body or organizational unit.
-
D.
typicalBodyContribution
Indicates that an entity typically contributes a characteristic, component, or influence to the body of another entity under normal or expected conditions.
-
E.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
Created at: April 27, 2026, 6:52 a.m.