Triple
T35933958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey tiger moth |
E1039243
|
entity |
| Predicate | forewingColorPattern |
P82434
|
FINISHED |
| Object | black and cream stripes |
—
|
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: black and cream stripes | Statement: [Jersey tiger moth, forewingColorPattern, black and cream stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forewingColorPattern Context triple: [Jersey tiger moth, forewingColorPattern, black and cream stripes]
-
A.
hasWingColor
Indicates that an entity possesses wings characterized by a specific color.
-
B.
hasUnderwingColor
Indicates that an entity possesses a specific color on the underside of its wings.
-
C.
plumageMarkingsColor
Indicates the color of the markings or patterns present on an entity's plumage.
-
D.
wingPattern
chosen
Indicates the characteristic arrangement or design present on an entity's wings.
-
E.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
- F. None of above.
Provenance (3 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_69f76e23e4688190a5369138755138bf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.