Triple
T26886506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Mayor of Kitchener |
E677054
|
entity |
| Predicate | ledByPosition |
P161300
|
FINISHED |
| Object | Mayor of Kitchener |
—
|
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: Mayor of Kitchener | Statement: [Office of the Mayor of Kitchener, ledByPosition, Mayor of Kitchener]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledByPosition Context triple: [Office of the Mayor of Kitchener, ledByPosition, Mayor of Kitchener]
-
A.
unveiledByPosition
Indicates that something becomes revealed or made visible when a person or object reaches or occupies a particular position.
-
B.
positionInLent
Indicates the specific point or stage an event, day, or period occupies within the overall timeline of Lent.
-
C.
establishedByPosition
Indicates that a relationship or status is created or determined based on an entity’s role, rank, or positional placement within a structure or system.
-
D.
leafPosition
Indicates the spatial or structural placement of a leaf relative to its supporting plant organ or axis.
-
E.
railPosition
Indicates the relative location or alignment of something with respect to a rail or set of rails.
- F. None of above. chosen
Provenance (4 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. |
| 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.