Triple
T10233771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daylesford, Gloucestershire, England |
E243408
|
entity |
| Predicate | hasListedBuilding |
P40016
|
FINISHED |
| Object | Church of St Peter |
E851454
|
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: Church of St Peter | Statement: [Daylesford, Gloucestershire, England, hasListedBuilding, Church of St Peter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Church of St Peter Context triple: [Daylesford, Gloucestershire, England, hasListedBuilding, Church of St Peter]
-
A.
Church of St Peter
The Church of St Peter is a historic Christian parish church serving the village of Cornwell in England.
-
B.
Church of St Peter
The Church of St Peter in Antakya is an ancient cave church considered one of the earliest Christian worship sites and traditionally associated with the Apostle Peter.
-
C.
Church of St Peter
The Church of St Peter is a historic parish church serving the village community of Coton in Cambridgeshire, England.
-
D.
Church of St Peter
chosen
The Church of St Peter is a historic Anglican parish church serving the village of Daylesford in Gloucestershire, England.
-
E.
St Peter's Church
St Peter's Church is a historic medieval Lutheran church in Riga, Latvia, renowned for its towering spire and panoramic city views.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d20cd8708190ba42752597d62008 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c9c6524819094d42e948c96207e |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:21 a.m.