Triple
T1783038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silkie |
E39330
|
entity |
| Predicate | hasStandardToeCount |
P32340
|
FINISHED |
| Object | more than usual four toes |
—
|
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: more than usual four toes | Statement: [Silkie, hasStandardToeCount, more than usual four toes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardToeCount Context triple: [Silkie, hasStandardToeCount, more than usual four toes]
-
A.
hasLegType
Indicates that an entity possesses a specific type or category of legs.
-
B.
footType
Indicates the specific kind or classification of feet that an entity possesses or is characterized by.
-
C.
hasLimbs
Indicates that an entity possesses one or more limbs as physical appendages.
-
D.
numberOfLegs
Indicates the quantity of legs that an entity possesses.
-
E.
hasNumberOfSpokes
Indicates the relationship that specifies how many spokes are present in or associated with an object.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.