Triple
T7244984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Birds of Killingworth |
E156445
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Killingworth |
E71801
|
NE 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: Killingworth | Statement: [The Birds of Killingworth, setting, Killingworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Killingworth Context triple: [The Birds of Killingworth, setting, Killingworth]
-
A.
Killingworth
chosen
Killingworth is a village in North Tyneside, England, historically notable for its early coal mining and railway engineering associations.
-
B.
Whitewell
Whitewell is a small rural hamlet in Lancashire, England, known for its scenic setting in the Forest of Bowland and traditional stone buildings.
-
C.
Stillington
Stillington is a small rural village and civil parish in North Yorkshire, England, known for its traditional English countryside setting.
-
D.
Willington
Willington is a village and civil parish in South Derbyshire, England, known for its riverside location on the Trent and Mersey Canal and nearby power station landmarks.
-
E.
Isleham
Isleham is a rural village and civil parish in Cambridgeshire, England, known for its historic churches and fenland landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea596fdc8190b2115363f1033441 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3987a888190ab19915b39dbf7eb |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:56 p.m.