Triple
T26886929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin station (Kitchener) |
E677064
|
entity |
| Predicate | renamedAlongWith |
P161301
|
FINISHED |
| Object | Berlin, Ontario |
E215600
|
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: Berlin, Ontario | Statement: [Berlin station (Kitchener), renamedAlongWith, Berlin, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renamedAlongWith Context triple: [Berlin station (Kitchener), renamedAlongWith, Berlin, Ontario]
-
A.
relocatedAndRenamed
Indicates that an entity has moved from one location to another and changed its name as part of that move.
-
B.
renamedDueTo
Indicates that one entity was renamed as a consequence of another specified cause, event, or condition.
-
C.
formedByRenaming
Indicates that one entity is created or derived from another entity specifically through a change of name.
-
D.
renamedTo
Indicates that an entity has been given a new name, specifying the target name it was changed to.
-
E.
renamedToInclude
Indicates that an entity has been renamed so that its new name explicitly includes another specified element (such as a term, identifier, or component).
- F. None of above. chosen
Provenance (5 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_69f61f643d6881909cb4791d78e80a06 |
completed | May 2, 2026, 3:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12298c5e108190afc4ecf55db87fee |
completed | May 23, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 5:42 a.m.