Triple
T21437441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Bedford |
E528849
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Harrold |
—
|
NE NERFINISHED |
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: Harrold | Statement: [Borough of Bedford, hasSettlement, Harrold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrold Context triple: [Borough of Bedford, hasSettlement, Harrold]
-
A.
Harrold
chosen
Harrold is a given name and surname, used as a variant spelling of Harold.
-
B.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
C.
Hannington
Hannington is a small rural village in the English county of Hampshire, known for its traditional countryside setting and historic character.
-
D.
Horstead
Horstead is a small village and civil parish in Norfolk, England, situated on the River Bure and known for its historic mill and rural surroundings.
-
E.
Harrodstown
Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee8140a1fc8190bedf297cfc4d4841 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 6:03 p.m.