Triple
T2110068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Airlines Flight 175 |
E42480
|
entity |
| Predicate | crashType |
P1788
|
FINISHED |
| Object | suicide hijacking |
—
|
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: suicide hijacking | Statement: [United Airlines Flight 175, crashType, suicide hijacking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crashType Context triple: [United Airlines Flight 175, crashType, suicide hijacking]
-
A.
typeOfFaulting
Indicates the kind or classification of geological faulting that characterizes the relationship between rock units or structures.
-
B.
crashCountry
Indicates that an aviation crash event occurred within the territory or jurisdiction of a specified country.
-
C.
accidentType
chosen
Indicates the specific category or kind of accident associated with an event or incident.
-
D.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
-
E.
collisionType
Indicates the specific kind or category of collision that occurs between two or more entities.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbae1bacc8190beffc9d0470e9190 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7ba08948190a3c236bb53ee4257 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.