Triple
T28836386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viewliner dining cars |
E728194
|
entity |
| Predicate | trainLighting |
P75609
|
FINISHED |
| Object | head-end power |
—
|
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 | Statement: [Viewliner dining cars, trainLighting, head-end power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainLighting Context triple: [Viewliner dining cars, trainLighting, head-end power]
-
A.
featuresLightingBy
Indicates that something includes or showcases lighting created, provided, or designed by a specified entity.
-
B.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
C.
lightOrganFunction
Indicates that one entity serves as the functional light-producing organ or structure for another entity.
-
D.
canLight
chosen
Indicates that one entity has the ability or capacity to provide or emit light to another entity or environment.
-
E.
lampPower
Indicates the power rating or electrical wattage associated with a lamp.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 6:39 a.m.