Triple
T909583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northrop X-4 Bantam |
E19627
|
entity |
| Predicate | testFocus |
P5348
|
FINISHED |
| Object | transonic flight |
—
|
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: transonic flight | Statement: [Northrop X-4 Bantam, testFocus, transonic flight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testFocus Context triple: [Northrop X-4 Bantam, testFocus, transonic flight]
-
A.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
titleIFocus
Indicates that a work’s primary or central focus is expressed or summarized by the given title.
-
C.
mayProvideFocus
Indicates that one entity can potentially direct attention, emphasis, or concentration toward another entity or aspect.
-
D.
titleIIFocus
Indicates that the primary focus or subject of a Title II–related provision, requirement, or classification is the referenced entity.
-
E.
tests
chosen
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f605bc8190a5245aa2ca55cf43 |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b2918ea881908698020b995a8eae |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:39 p.m.