Triple
T965272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockwell-MBB X-31 |
E20823
|
entity |
| Predicate | firstCrashCause |
P21234
|
FINISHED |
| Object | pitot-static system icing leading to loss of control |
—
|
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: pitot-static system icing leading to loss of control | Statement: [Rockwell-MBB X-31, firstCrashCause, pitot-static system icing leading to loss of control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCrashCause Context triple: [Rockwell-MBB X-31, firstCrashCause, pitot-static system icing leading to loss of control]
-
A.
failureCauseOnFirstFlight
chosen
Indicates that an entity’s first flight resulted in a failure and specifies the cause of that failure.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
-
D.
firstStageEngine
Indicates that an engine functions as the primary propulsion unit used in the first stage of a multi-stage launch vehicle or rocket.
-
E.
causeOfInjury
Indicates that one entity is the source or reason that another entity sustained an injury.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b431d61481908b53490e99670363 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a42c1481908d940cbe0aefdd3b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.