Triple
T24532472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farnworth Municipal Borough Council |
E606850
|
entity |
| Predicate | subsequentCounty |
P156629
|
FINISHED |
| Object | Greater Manchester |
—
|
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: Greater Manchester | Statement: [Farnworth Municipal Borough Council, subsequentCounty, Greater Manchester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentCounty Context triple: [Farnworth Municipal Borough Council, subsequentCounty, Greater Manchester]
-
A.
previousCounty
Indicates that one county was the immediately preceding county associated with an entity before the current or later county.
-
B.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
C.
startCounty
Indicates the county in which something (such as an event, route, or process) begins or originates.
-
D.
hasCountySeatSuccessor
Indicates that one county seat has been succeeded or replaced by another as the official administrative center for a county.
-
E.
hasCountySeatOfParentCounty
Indicates that a location serves as the county seat (administrative center) for the county that is the parent of another referenced entity.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.