Triple
T1680316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town and Country Planning Act 1947 |
E36322
|
entity |
| Predicate | transfers |
P17241
|
FINISHED |
| Object | development rights from landowners to the state |
—
|
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: development rights from landowners to the state | Statement: [Town and Country Planning Act 1947, transfers, development rights from landowners to the state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transfers Context triple: [Town and Country Planning Act 1947, transfers, development rights from landowners to the state]
-
A.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
-
B.
hasTransfer
chosen
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
C.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
D.
sharesTradedFor
Indicates that shares of one entity are exchanged or traded in return for another asset, security, or form of consideration.
-
E.
recordsMovementOf
Indicates that something captures or logs the movement or change in position of an entity over time.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.