Triple
T753176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hump airlift over the Himalayas |
E15494
|
entity |
| Predicate | approximateAircraftLost |
P19104
|
FINISHED |
| Object | more than 600 aircraft |
—
|
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: more than 600 aircraft | Statement: [The Hump airlift over the Himalayas, approximateAircraftLost, more than 600 aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateAircraftLost Context triple: [The Hump airlift over the Himalayas, approximateAircraftLost, more than 600 aircraft]
-
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.
locationOnAircraft
Indicates that one entity is physically situated on or within an aircraft.
-
D.
aircraftLostByJapan
Indicates that the specified aircraft were lost by Japan, typically through destruction, damage beyond repair, or disappearance.
-
E.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
- F. None of above. chosen
Provenance (4 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64d7d2c8190a6059adcb8fbd34f |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a501c4cc81908de6d63e3d4f60d7 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5bed20c81909ecc28bf42594e72 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.