Triple
T1362188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilsons |
E29119
|
entity |
| Predicate | isCountable |
P22989
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wilsons, isCountable, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCountable Context triple: [Wilsons, isCountable, true]
-
A.
hasComponentCount
Indicates that an entity is associated with a specific number of components it contains or comprises.
-
B.
isSecondCountable
chosen
Indicates that a topological space has a countable base for its topology, meaning all open sets can be generated from a countable collection of basic open sets.
-
C.
hasCountingDirection
Indicates the direction or order in which counting or enumeration proceeds between related entities.
-
D.
isAssociative
Indicates that the grouping of operands does not affect the result of the operation (i.e., (a * b) * c = a * (b * c)).
-
E.
hasMemberCountType
Indicates the type or classification used to describe how the number of members in a group or collection is represented.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b4ab3c8190ad692e32eee05976 |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.