Triple
T15278728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killingworth Lake |
E365210
|
entity |
| Predicate | locatedIn |
P40
|
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: [Killingworth Lake, locatedIn, Killingworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Killingworth Context triple: [Killingworth Lake, locatedIn, Killingworth]
-
A.
Killingworth
chosen
Killingworth is a village in North Tyneside, England, historically notable for its early coal mining and railway engineering associations.
-
B.
Crosthwaite
Crosthwaite is a small village in England’s Lake District, known for its rural charm and scenic surroundings.
-
C.
Winford
Winford is a small village and civil parish in North Somerset, England, situated near Bristol Airport and known for its rural character.
-
D.
Woodcroft
Woodcroft is a suburban residential area located within the City of Onkaparinga in the southern region of Adelaide, South Australia.
-
E.
Whitewell
Whitewell is a small rural hamlet in Lancashire, England, known for its scenic setting in the Forest of Bowland and traditional stone buildings.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e504d8c8190ad6c565a31d1a9bd |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef754c9c8190abdc1d08fd1511cd |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.