Triple
T1031371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing X-45 |
E22257
|
entity |
| Predicate | testActivities |
P5348
|
FINISHED |
| Object | autonomous taxi tests |
—
|
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: autonomous taxi tests | Statement: [Boeing X-45, testActivities, autonomous taxi tests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testActivities Context triple: [Boeing X-45, testActivities, autonomous taxi tests]
-
A.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
B.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
C.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
D.
tests
chosen
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
-
E.
hasKeyActivity
Indicates that an entity is associated with or performs a primary or central activity.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.