Triple
T32623405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann Köhl |
E833989
|
entity |
| Predicate | directionOfHistoricFlight |
P193894
|
FINISHED |
| Object | east-to-west transatlantic crossing |
—
|
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: east-to-west transatlantic crossing | Statement: [Hermann Köhl, directionOfHistoricFlight, east-to-west transatlantic crossing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionOfHistoricFlight Context triple: [Hermann Köhl, directionOfHistoricFlight, east-to-west transatlantic crossing]
-
A.
flightRoute
Indicates a path or sequence of locations that a particular flight travels between, typically from its origin to its destination (and possibly via intermediate stops).
-
B.
historicFlightDistance
Indicates the total distance that was covered during a past or completed flight.
-
C.
flightRecord
Indicates a record of a specific flight event or journey, capturing details about its occurrence and characteristics.
-
D.
historicalRouteVia
Indicates that a historical route or path passed through or was connected by a particular intermediate location or segment.
-
E.
investigatesFlight
Indicates that an entity conducts an inquiry or examination into a specific flight or flight-related incident.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: May 1, 2026, 1:06 a.m.