Triple
T30328026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyandotte |
E771392
|
entity |
| Predicate | combShapeAdvantage |
P168849
|
FINISHED |
| Object | good for cold climates |
—
|
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: good for cold climates | Statement: [Wyandotte, combShapeAdvantage, good for cold climates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combShapeAdvantage Context triple: [Wyandotte, combShapeAdvantage, good for cold climates]
-
A.
shapeInfluencedBy
Indicates that the form or outline of one entity is affected, determined, or modified by another entity or factor.
-
B.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
C.
coreShape
Indicates that one entity serves as the primary or central shape or geometric form of another entity.
-
D.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
-
E.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f681c48ffc819098fa0303a15f2114 |
completed | May 2, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:53 p.m.