Triple
T1327277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra Milwaukee District West Line |
E28356
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Itasca |
E48217
|
NE 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: Itasca | Statement: [Metra Milwaukee District West Line, hasStation, Itasca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itasca Context triple: [Metra Milwaukee District West Line, hasStation, Itasca]
-
A.
Itasca, Illinois
chosen
Itasca, Illinois is a suburban village in DuPage County known for its residential character, business parks, and proximity to Chicago’s O’Hare International Airport.
-
B.
Watseka, Illinois
Watseka, Illinois is a small city in Iroquois County that serves as the county seat and a local agricultural and commercial center in eastern Illinois.
-
C.
Mendota
Mendota is a small agricultural city in California’s San Joaquin Valley known for its farming and rural character.
-
D.
Otsego
Otsego is a small city in southwestern Michigan known historically for its paper mills and location along the Kalamazoo River.
-
E.
Lake of the Woods
Lake of the Woods is a large, island-dotted freshwater lake in northwestern Ontario that extends into Manitoba and Minnesota and is known for its fishing, boating, and scenic wilderness.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c0a22881909eff0fc6c91a5f41 |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde12d0dc81908a09c0221b8db3f6 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:55 p.m.