Triple
T6586877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kearsley |
E159246
|
entity |
| Predicate | administrativeStatusHistory |
P14579
|
FINISHED |
| Object | former urban district in Lancashire |
—
|
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: former urban district in Lancashire | Statement: [Kearsley, administrativeStatusHistory, former urban district in Lancashire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeStatusHistory Context triple: [Kearsley, administrativeStatusHistory, former urban district in Lancashire]
-
A.
formerAdministrativeStatus
chosen
Indicates that an entity previously held, but no longer holds, a particular administrative status or role.
-
B.
historicalStatusOf
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
C.
administrativeStatusCurrent
Indicates the current administrative status or condition of an entity within a governing or managing system.
-
D.
historicalRecordStatus
Indicates the status or condition of a record within a historical or archival context (e.g., active, archived, revised, or obsolete).
-
E.
renewalHistory
Indicates the record of past renewal events or actions that have occurred for a given 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:55 p.m.