Triple
T30611016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welput |
E779177
|
entity |
| Predicate | typicalUseType |
P191568
|
FINISHED |
| Object | office |
—
|
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: office | Statement: [Welput, typicalUseType, office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUseType Context triple: [Welput, typicalUseType, office]
-
A.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
B.
typeOfUsage
Indicates how something is used or the manner in which it is intended to be used.
-
C.
hasTypicalUsageType
chosen
Indicates that something is associated with a standard or commonly expected way in which it is used.
-
D.
primaryUseOf
Indicates that one entity serves as the main or principal function, purpose, or application of another entity.
-
E.
typicalTargetType
Indicates the usual or most common type or category of entity that serves as the target or recipient in a given relationship or action.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:26 p.m.