Triple
T6692349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milwaukee Road |
E152656
|
entity |
| Predicate | knownForInnovation |
P14232
|
FINISHED |
| Object | early adoption of mainline electrification |
—
|
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: early adoption of mainline electrification | Statement: [Milwaukee Road, knownForInnovation, early adoption of mainline electrification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForInnovation Context triple: [Milwaukee Road, knownForInnovation, early adoption of mainline electrification]
-
A.
innovationFrom
Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
-
B.
innovationArea
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
C.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
D.
technologyPioneered
chosen
Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
-
E.
notableInventor
Indicates that the subject is a well-known or historically significant inventor of the object.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:05 p.m.