Triple
T14458489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DNA Kaapeli-TV |
E358516
|
entity |
| Predicate | hasSubscriberType |
P121
|
FINISHED |
| Object | residential customers |
—
|
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: residential customers | Statement: [DNA Kaapeli-TV, hasSubscriberType, residential customers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubscriberType Context triple: [DNA Kaapeli-TV, hasSubscriberType, residential customers]
-
A.
hasMemberType
chosen
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
B.
hasObserverType
Indicates that an entity is associated with a particular type or category of observer that monitors, views, or records it.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasSubOrganizationType
Indicates that an organization is associated with or classified under a specific type or category of sub-organization.
-
E.
hasTopicType
Indicates that something is associated with, or categorized under, a particular type of topic.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91aabebc819097eb61b2d81c9a91 |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.