Triple
T8184789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bywood |
E191154
|
entity |
| Predicate | adjacentNeighborhood |
P4647
|
FINISHED |
| Object | Kirklyn |
E178631
|
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: Kirklyn | Statement: [Bywood, adjacentNeighborhood, Kirklyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirklyn Context triple: [Bywood, adjacentNeighborhood, Kirklyn]
-
A.
Kirklyn
chosen
Kirklyn is a residential neighborhood located within Upper Darby Township in Delaware County, Pennsylvania.
-
B.
Kingsdale
Kingsdale is a remote limestone valley in the Yorkshire Dales of northern England, known for its dramatic karst scenery, caves, and walking routes.
-
C.
Kierling
Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
-
D.
Kelshall
Kelshall is a small rural village in the North Hertfordshire district of England, characterized by its historic church and agricultural surroundings.
-
E.
Kincorth
Kincorth is a residential area in the south of Aberdeen, Scotland, known for its post-war housing and proximity to the River Dee.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c507f248190b599b4a629b7518a |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf95fd5c81908391dc160723b9e9 |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:41 p.m.