Triple
T27636674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MatSort |
E696489
|
entity |
| Predicate | selector |
P45344
|
FINISHED |
| Object | matSort |
—
|
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: matSort | Statement: [MatSort, selector, matSort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selector Context triple: [MatSort, selector, matSort]
-
A.
definesSelector
chosen
Indicates that one entity specifies or determines the selection criteria used to choose or identify another entity.
-
B.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
C.
selectionDescribedIn
Indicates that a particular selection or choice is documented, explained, or detailed within a specified description or source.
-
D.
selectionCharacteristic
Indicates a distinguishing feature or criterion used to choose or differentiate one entity from others.
-
E.
selectedAt
Indicates that an entity was chosen or picked at a specific point in time or under particular selection conditions.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 2:24 p.m.