Triple
T5076952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shetland sheepdog |
E114420
|
entity |
| Predicate | outerCoat |
P48712
|
FINISHED |
| Object | harsh |
—
|
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: harsh | Statement: [Shetland sheepdog, outerCoat, harsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outerCoat Context triple: [Shetland sheepdog, outerCoat, harsh]
-
A.
coatCharacteristic
chosen
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
B.
wornOver
Indicates that one item of clothing or accessory is positioned on top of and covering another item when worn.
-
C.
bodyCovering
Indicates the type of external covering or surface (such as skin, fur, feathers, or scales) that characterizes an entity’s body.
-
D.
alsoWornIn
Indicates that an item of clothing or accessory is additionally worn in another context, location, or time beyond the primary one mentioned.
-
E.
outerSurface
Indicates that one entity forms the external boundary or outermost layer of another entity.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d3b0088190a658864cb120eef4 |
completed | March 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.