Triple
T3345737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Experimental Test Pilot Course |
E70368
|
entity |
| Predicate | trainsForRole |
P14268
|
FINISHED |
| Object | experimental test pilot |
—
|
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: experimental test pilot | Statement: [Experimental Test Pilot Course, trainsForRole, experimental test pilot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainsForRole Context triple: [Experimental Test Pilot Course, trainsForRole, experimental test pilot]
-
A.
trainsForOccupation
chosen
Indicates that an entity undergoes training or preparation aimed at qualifying for or performing a specific occupation.
-
B.
trains
Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
-
C.
trainsArtistsFor
Indicates a relationship where one entity provides instruction or guidance to prepare another entity to become or work as an artist.
-
D.
railwayLineRole
Indicates the specific functional role or purpose that a railway line serves within a rail network or transportation system.
-
E.
railNetworkRole
Indicates the specific function or responsibility an entity has within a rail network system.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f36c74819093ef2c74a46c2351 |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.