Triple
T11921113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almonry Museum |
E283656
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Evesham |
E59769
|
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: Evesham | Statement: [Almonry Museum, location, Evesham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evesham Context triple: [Almonry Museum, location, Evesham]
-
A.
Evesham
chosen
Evesham is a historic market town in Worcestershire, England, situated on the River Avon and known for its horticulture and the site of the 1265 Battle of Evesham.
-
B.
Tewkesbury
Tewkesbury is a historic market town in England known for its well-preserved medieval streets, timber-framed buildings, and the prominent Tewkesbury Abbey.
-
C.
Frampton-on-Severn
Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
-
D.
Banbury
Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
-
E.
Pershore
Pershore is a historic market town on the River Avon in Worcestershire, England, known for its Georgian architecture and annual plum festival.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e1b08481909ed291667035f330 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a61e120819089e44568ce7e99fe |
completed | May 1, 2026, 11:11 a.m. |
Created at: April 8, 2026, 9:45 p.m.