Triple
T10471760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blériot XI |
E246938
|
entity |
| Predicate | firstChannelCrossingTime |
P94211
|
FINISHED |
| Object | 37 minutes |
—
|
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: 37 minutes | Statement: [Blériot XI, firstChannelCrossingTime, 37 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChannelCrossingTime Context triple: [Blériot XI, firstChannelCrossingTime, 37 minutes]
-
A.
approximateCrossingTime
Indicates an estimated point in time when one entity is expected to cross or intersect another (such as a path, boundary, or trajectory).
-
B.
firstCompleteTransitBy
Indicates the agent (such as a person, vehicle, or mission) that first successfully completed a full transit or passage through a specified route, medium, or region.
-
C.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
D.
crossingOpened
Indicates that a crossing (such as a road, rail, or pedestrian crossing) has been opened or made available for passage.
-
E.
crossingType
Indicates the specific kind or category of crossing (e.g., how or where one thing passes over, through, or across another).
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094cec788190a485c5c9e7cd024a |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:20 p.m.