Triple
T28008812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiawatha passenger trains of the Milwaukee Road |
E707358
|
entity |
| Predicate | majorOperatorCity |
P60825
|
FINISHED |
| Object | Milwaukee, Wisconsin |
—
|
NE NERFINISHED |
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: Milwaukee, Wisconsin | Statement: [Hiawatha passenger trains of the Milwaukee Road, majorOperatorCity, Milwaukee, Wisconsin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorOperatorCity Context triple: [Hiawatha passenger trains of the Milwaukee Road, majorOperatorCity, Milwaukee, Wisconsin]
-
A.
majorReceivingCity
Indicates that one city serves as a primary destination or hub for receiving people, goods, or resources from another location.
-
B.
operatorCity
chosen
Indicates the city in which an operator is based or primarily operates.
-
C.
majorAffiliateCity
Indicates that a city serves as a primary or significant affiliate location associated with another entity.
-
D.
majorCityAlong
Indicates that a major city is located along the course or path of a specified geographic feature, such as a river, road, or route.
-
E.
majorEmployerCity
Indicates that a city is a primary or significant employer of a given entity (such as an organization or population).
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 27, 2026, 8:02 p.m.