Triple
T7973743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pershore |
E185391
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | PERSHORE |
E185391
|
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: PERSHORE | Statement: [Pershore, postTown, PERSHORE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PERSHORE Context triple: [Pershore, postTown, PERSHORE]
-
A.
Pershore
chosen
Pershore is a historic market town on the River Avon in Worcestershire, England, known for its Georgian architecture and annual plum festival.
-
B.
Sherborne
Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
-
C.
Sherborne
Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
-
D.
Pensford
Pensford is a small historic village in Somerset, England, known for its stone cottages, riverside setting, and prominent disused railway viaduct.
-
E.
Felpersham
Felpersham is a fictional cathedral city in the long-running BBC radio drama "The Archers," serving as a key urban center near the village of Ambridge.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf319648190a900b133d58bd02b |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0bb089881909d3ec17a3330ce25 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:13 p.m.