Triple
T34422892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALP family of locomotives |
E883595
|
entity |
| Predicate | powerSourceVariant |
P127201
|
FINISHED |
| Object | overhead AC catenary |
—
|
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: overhead AC catenary | Statement: [ALP family of locomotives, powerSourceVariant, overhead AC catenary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerSourceVariant Context triple: [ALP family of locomotives, powerSourceVariant, overhead AC catenary]
-
A.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
B.
poweringSystem
Indicates that one entity serves as the source of power or energy that enables the operation or functioning of another entity.
-
C.
powerSupplyCapability
Indicates the ability of one entity to provide electrical power to another entity or system.
-
D.
modeOfPower
chosen
Indicates the type or method of power or energy by which an entity operates or is driven.
-
E.
hasPowerSupplyType
Indicates that an entity is associated with a specific type or category of power supply it uses or requires.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 1, 2026, 2 a.m.