Triple
T16781322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Machine |
E407862
|
entity |
| Predicate | designerIntent |
P26974
|
FINISHED |
| Object | prevent terrorist attacks |
—
|
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: prevent terrorist attacks | Statement: [The Machine, designerIntent, prevent terrorist attacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designerIntent Context triple: [The Machine, designerIntent, prevent terrorist attacks]
-
A.
designIntent
chosen
Indicates the underlying purpose, rationale, or functional goal that guided the creation or configuration of something.
-
B.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by another entity.
-
C.
designsBy
Indicates that one entity is the creator or designer responsible for the conception or design of another entity.
-
D.
designConsultant
Indicates that one entity serves as a design consultant, providing expert design advice or services, to another entity.
-
E.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b216726881908ddc9cdc772cd5e4 |
completed | April 18, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.