Triple
T2505597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississauga |
E52571
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Milton |
E111901
|
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: Milton | Statement: [Mississauga, hasNeighbour, Milton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milton Context triple: [Mississauga, hasNeighbour, Milton]
-
A.
Milton
Milton is a common English surname most famously borne by the 17th-century poet John Milton, author of "Paradise Lost."
-
B.
Milton
Milton is a suburban town in eastern Massachusetts, United States, located just south of Boston.
-
C.
Milton
chosen
Milton is a rapidly growing town in Southern Ontario, Canada, located within the Greater Toronto Area and known for its suburban communities and proximity to major urban centers.
-
D.
Milton
Milton is a village and civil parish just north of Cambridge in South Cambridgeshire, England, known for its proximity to the city and the nearby Cambridge Science Park.
-
E.
Milton
Milton is the given first name of the influential American artist Robert Rauschenberg, known for his pioneering work in mixed-media and pop art.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cec9f48190848b6129aa394ce4 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa57aa4819096578a5538973ec4 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.