Triple
T19222332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St John’s Church, Bengeo |
E480647
|
entity |
| Predicate | parish |
P2739
|
FINISHED |
| Object | Bengeo |
—
|
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: Bengeo | Statement: [St John’s Church, Bengeo, parish, Bengeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bengeo Context triple: [St John’s Church, Bengeo, parish, Bengeo]
-
A.
Bengeo
chosen
Bengeo is a residential suburb and historic area of Hertford in Hertfordshire, England.
-
B.
Burcwen
Burcwen is a character associated with Godric, likely appearing in narratives or stories centered around him.
-
C.
Bleibuir
Bleibuir is a village and district of the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
-
D.
Maross
Maross is a surname most notably associated with American actor Joe Maross, known for his work in mid-20th-century film and television.
-
E.
Blorenge
Blorenge is a prominent hill in Monmouthshire, Wales, known for its sweeping views over the Usk Valley and the nearby town of Abergavenny.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa94aed081909045cfed8edc6039 |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:24 p.m.