Triple
T7050138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolling Thunder |
E163742
|
entity |
| Predicate | aircraftLost |
P19104
|
FINISHED |
| Object | hundreds of U.S. aircraft lost |
—
|
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: hundreds of U.S. aircraft lost | Statement: [Rolling Thunder, aircraftLost, hundreds of U.S. aircraft lost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftLost Context triple: [Rolling Thunder, aircraftLost, hundreds of U.S. aircraft lost]
-
A.
aircraftLostByUnitedStates
Indicates that an aircraft was lost (e.g., destroyed, missing, or otherwise no longer operational) and that this loss is attributed to the United States.
-
B.
aircraftLostByAllies
Indicates that the specified aircraft was lost by Allied forces (e.g., destroyed, missing, or otherwise no longer operational under their control).
-
C.
approximateAircraftLost
chosen
Indicates an estimated or approximate number of aircraft that were lost in an event or operation.
-
D.
aircraftLostByJapan
Indicates that the specified aircraft were lost by Japan, typically through destruction, damage beyond repair, or disappearance.
-
E.
flightPhaseAtDisappearance
Indicates the specific phase of a flight during which the aircraft disappeared or lost contact.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.