Triple
T7370046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cullingsburgh |
E169973
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Maryfield |
E137690
|
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: Maryfield | Statement: [Cullingsburgh, hasNearbySettlement, Maryfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maryfield Context triple: [Cullingsburgh, hasNearbySettlement, Maryfield]
-
A.
Maryfield
chosen
Maryfield is a small settlement on the island of Bressay in the Shetland Islands of Scotland.
-
B.
Medstead
Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
-
C.
Willowbridge
Willowbridge is a small rural settlement located within New Zealand’s Waimate District in the South Island.
-
D.
Clairmont
Clairmont is the surname of Claire Clairmont, the English writer and stepsister of Mary Shelley who was closely associated with the Romantic literary circle.
-
E.
Clairmont
Clairmont is a small community in northwestern Alberta, Canada, situated just north of the city of Grande Prairie.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802c3a4788190850294b054b9c928 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.