Triple
T24822672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaunay variables |
E621101
|
entity |
| Predicate | hasActionVariable |
P38220
|
FINISHED |
| Object | H |
—
|
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: H | Statement: [Delaunay variables, hasActionVariable, H]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActionVariable Context triple: [Delaunay variables, hasActionVariable, H]
-
A.
hasVariable
chosen
Indicates that one entity includes, defines, or is associated with a particular variable.
-
B.
hasVariableStatus
Indicates that an entity’s status is not fixed but can change over time or under different conditions.
-
C.
hasActionType
Indicates that an action or event is classified as belonging to a specific type or category of actions.
-
D.
hasDependentVariable
Indicates that one variable’s value is determined by, or functionally depends on, the value(s) of another variable or set of variables.
-
E.
hasTargetSiteOfAction
Indicates that an agent (such as a substance or process) exerts its primary effect on a specified biological site or location.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 5:04 a.m.