Triple
T20205792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin-Lima-Hamilton Corporation |
E493345
|
entity |
| Predicate | ceasedSteamLocomotiveProductionInDecade |
P62792
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Baldwin-Lima-Hamilton Corporation, ceasedSteamLocomotiveProductionInDecade, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceasedSteamLocomotiveProductionInDecade Context triple: [Baldwin-Lima-Hamilton Corporation, ceasedSteamLocomotiveProductionInDecade, 1950s]
-
A.
ceasedSteamLocomotiveProduction
chosen
Indicates that an entity has stopped manufacturing steam locomotives.
-
B.
typeOfLocomotivesProduced
Indicates the specific kinds or categories of locomotives that are manufactured or produced by an entity.
-
C.
lastOfClassDecommissionedYear
Indicates the year in which the final remaining member of a particular class was officially decommissioned.
-
D.
usedLocomotives
Indicates that an entity employed locomotives as tools, resources, or means to perform an action or fulfill a function.
-
E.
decommissionedInCentury
Indicates that something was formally taken out of service or use during a specified century.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d922ebc8190ae012da8ceba74dd |
completed | April 20, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.