Triple
T5810873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Highway 17 |
E128863
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Mattawa |
E519046
|
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: Mattawa | Statement: [Ontario Highway 17, passesThrough, Mattawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mattawa Context triple: [Ontario Highway 17, passesThrough, Mattawa]
-
A.
Mattawa
chosen
Mattawa is a small town in northeastern Ontario, Canada, located at the confluence of the Mattawa and Ottawa Rivers and known historically as a key fur trade and logging route.
-
B.
Battle Creek
Battle Creek is a stream in Maryland that flows through the Battle Creek Cypress Swamp Sanctuary, supporting its unique wetland ecosystem.
-
C.
Battle Creek
Battle Creek is a mid-sized city in south-central Michigan known historically for its cereal industry and as the headquarters of Kellogg Company.
-
D.
Manistee
Manistee is a small city and popular lakeside destination on the shores of Lake Michigan in northwestern Michigan, known for its historic downtown and scenic natural surroundings.
-
E.
Otsego
Otsego is a small city in southwestern Michigan known historically for its paper mills and location along the Kalamazoo River.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b538cd08190a7dac378898059b9 |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1826cc081909572d9bf99d5f670 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:52 p.m.