Triple
T26886921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin station (Kitchener) |
E677064
|
entity |
| Predicate | servingCity |
P3936
|
FINISHED |
| Object | Berlin, Ontario |
—
|
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: Berlin, Ontario | Statement: [Berlin station (Kitchener), servingCity, Berlin, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servingCity Context triple: [Berlin station (Kitchener), servingCity, Berlin, Ontario]
-
A.
servedCity
chosen
Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
-
B.
alternativeCityServed
Indicates that one city functions as an alternative service location for another city, typically in contexts like transportation or logistics.
-
C.
modernCityServed
Indicates that a modern city receives services, support, or functions (such as transportation, utilities, or administration) from a specified provider or infrastructure.
-
D.
residencyCity
Indicates the city in which an entity resides or has their primary place of residence.
-
E.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 5:42 a.m.