Triple
T2953209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council Tax |
E79868
|
entity |
| Predicate | collectionFrequency |
P16914
|
FINISHED |
| Object | usually monthly instalments |
—
|
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: usually monthly instalments | Statement: [Council Tax, collectionFrequency, usually monthly instalments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionFrequency Context triple: [Council Tax, collectionFrequency, usually monthly instalments]
-
A.
collectorStatus
Indicates the current operational or lifecycle state of a collector in relation to its collection activity.
-
B.
collectionTimespan
Indicates the time period over which a collection exists, is accumulated, or is considered valid.
-
C.
performedFrequency
chosen
Indicates how often an action or activity is carried out within a given time period.
-
D.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
-
E.
collectionSize
Indicates the total number of items contained within a specified collection.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fe4b688190a0f68c4f80cd6f8f |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.