Triple
T15037597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | toonie |
E378516
|
entity |
| Predicate | reverseDesignTitle |
P116495
|
FINISHED |
| Object | Churchill polar bear |
—
|
LITERAL 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: Churchill polar bear | Statement: [toonie, reverseDesignTitle, Churchill polar bear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reverseDesignTitle Context triple: [toonie, reverseDesignTitle, Churchill polar bear]
-
A.
reverseDesigns
Indicates that one entity creates or specifies designs that are the reverse or inverse configuration of another entity’s designs.
-
B.
reverseDesignSubject
Indicates that the subject is the entity for which a design or plan is derived by reversing or backtracking from an existing outcome or artifact.
-
C.
reverseDesignElement
Indicates that one design element is the reverse or inverse counterpart of another design element.
-
D.
previousReverseDesign
Indicates that one entity is the immediately preceding version or design in a reverse-ordered design sequence relative to another entity.
-
E.
reverseDesigner
Indicates that one entity is the designer or creator of another entity, with the direction of the relationship reversed from a primary “designer” predicate.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82cf3848190b0b2b6c9e65bc70b |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:59 a.m.