Triple
T19601481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunkirk locomotive works |
E470486
|
entity |
| Predicate | usedPowerType |
P47735
|
FINISHED |
| Object | steam |
—
|
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: steam | Statement: [Dunkirk locomotive works, usedPowerType, steam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedPowerType Context triple: [Dunkirk locomotive works, usedPowerType, steam]
-
A.
usesPowerType
chosen
Indicates that one entity operates or functions by means of a specified type or source of power.
-
B.
usesPowerFor
Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
-
C.
powersType
Indicates that one entity has a specific type or category of power or ability in relation to another entity.
-
D.
involvesPowerType
Indicates that the relationship or action is associated with, characterized by, or dependent on a specific type or category of power.
-
E.
modeOfPower
Indicates the type or method of power or energy by which an entity operates or is driven.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407f1fd88190aa82c4c96f755584 |
completed | April 20, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.