Triple
T24696320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Per Bothner |
E611595
|
entity |
| Predicate | hasMaintained |
P157184
|
FINISHED |
| Object | Kawa Scheme |
—
|
NE NERFINISHED |
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: Kawa Scheme | Statement: [Per Bothner, hasMaintained, Kawa Scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaintained Context triple: [Per Bothner, hasMaintained, Kawa Scheme]
-
A.
hasMaintenance
Indicates that an entity is subject to, associated with, or requires a particular maintenance activity or maintenance record.
-
B.
canMaintain
Indicates that one entity has the ability or capacity to maintain, service, or keep another entity in proper working condition.
-
C.
maintainedDuring
Indicates that a certain condition, state, or relationship continues to hold throughout the duration of a specified event or time interval.
-
D.
maintainedFor
Indicates that something is kept in a particular state, condition, or operation for the benefit, use, or purpose of another entity.
-
E.
stillMaintained
Indicates that the subject continues to be actively maintained or supported over time.
- 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f422add8508190a76e56cfa756eeb8 |
completed | May 1, 2026, 3:49 a.m. |
Created at: April 18, 2026, 3:21 a.m.