Triple
T9694989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Airlines Flight 175 |
E234624
|
entity |
| Predicate | hijackingMethod |
P33464
|
FINISHED |
| Object | cockpit takeover |
—
|
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: cockpit takeover | Statement: [United Airlines Flight 175, hijackingMethod, cockpit takeover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hijackingMethod Context triple: [United Airlines Flight 175, hijackingMethod, cockpit takeover]
-
A.
hijacked
chosen
Indicates that one entity has forcibly taken control of another entity, typically without authorization and against the will of its rightful controller.
-
B.
interceptionMethod
Indicates the technique or means by which an interception (such as capturing data, signals, or communications) is carried out.
-
C.
coHijackerWith
Indicates that two or more individuals participated together in the act of hijacking the same target (e.g., vehicle, aircraft, or vessel).
-
D.
hijackingTimeApproximate
Indicates that the time at which a hijacking occurred is known only approximately rather than as an exact timestamp.
-
E.
overthrowMethod
Indicates the method or means by which an overthrow (such as of a government, leader, or regime) is carried out.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d366c488190bc153c68fef197c2 |
completed | April 1, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b9e93c8190947cce56a3925364 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.