Triple
T10735217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GP40PH-2 |
E253177
|
entity |
| Predicate | hasOnboardGenerator |
P36407
|
FINISHED |
| Object | head-end power generator |
—
|
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: head-end power generator | Statement: [GP40PH-2, hasOnboardGenerator, head-end power generator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnboardGenerator Context triple: [GP40PH-2, hasOnboardGenerator, head-end power generator]
-
A.
hasOnboardFeature
chosen
Indicates that an entity includes or is equipped with a particular feature as part of its built-in or onboard capabilities.
-
B.
hasOnboardButton
Indicates that one entity is equipped with or includes a button installed on or within it.
-
C.
hasOnboardSwitch
Indicates that one entity is equipped with a built-in switch located on or within it.
-
D.
hasOnboardSystems
Indicates that an entity is equipped with or contains specific onboard systems or subsystems.
-
E.
hasOnboardFlash
Indicates that an entity is equipped with built-in flash memory as part of its hardware.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71021cccc8190ba2d3bbd7d50e2a7 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.