Triple
T20205791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin-Lima-Hamilton Corporation |
E493345
|
entity |
| Predicate | enteredDieselLocomotiveMarketInDecade |
P139186
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Baldwin-Lima-Hamilton Corporation, enteredDieselLocomotiveMarketInDecade, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredDieselLocomotiveMarketInDecade Context triple: [Baldwin-Lima-Hamilton Corporation, enteredDieselLocomotiveMarketInDecade, 1940s]
-
A.
ceasedSteamLocomotiveProduction
Indicates that an entity has stopped manufacturing steam locomotives.
-
B.
rollingStockEra
Indicates the historical or operational time period during which a particular piece of rolling stock is designed to represent or is considered appropriate.
-
C.
usedLocomotives
Indicates that an entity employed locomotives as tools, resources, or means to perform an action or fulfill a function.
-
D.
cameIntoEffectInDecade
Indicates that something (such as a law, policy, or agreement) officially began to be in force during a specified decade.
-
E.
laterLocomotiveType
Indicates that one locomotive type succeeds or comes after another in time, representing a later development or version in locomotive design.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:38 p.m.