Triple
T9166752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Wyandotte |
E219978
|
entity |
| Predicate | crossColorOutcome |
P86877
|
FINISHED |
| Object | blue × blue yields blue, black, and splash offspring |
—
|
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: blue × blue yields blue, black, and splash offspring | Statement: [Blue Wyandotte, crossColorOutcome, blue × blue yields blue, black, and splash offspring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossColorOutcome Context triple: [Blue Wyandotte, crossColorOutcome, blue × blue yields blue, black, and splash offspring]
-
A.
hasCrossColor
Indicates that an entity possesses a cross-shaped marking or pattern of a specified color.
-
B.
crossWith
Indicates that one entity intersects or passes over/through the path, boundary, or position of another entity.
-
C.
crossType
Indicates a relationship where one entity intersects, passes over, or traverses another, typically implying movement or extension across a boundary, area, or medium.
-
D.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
E.
crossedBy
Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaade47cc81909b5c127dc8aa1340 |
completed | April 1, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc668ad3d881908a8a93a6a1d553e4 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 7:22 p.m.