Triple
T21804331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M4 corridor |
E538311
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Chippenham |
—
|
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: Chippenham | Statement: [M4 corridor, hasPart, Chippenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chippenham Context triple: [M4 corridor, hasPart, Chippenham]
-
A.
Chippenham
chosen
Chippenham is a historic market town in Wiltshire, England, known for its location on the River Avon and its role as a regional commercial and commuter hub.
-
B.
Chippenham
Chippenham is a village and civil parish in the East Cambridgeshire district of Cambridgeshire, England, known for its rural character and historic estate landscapes.
-
C.
Melksham
Melksham is a market town in western Wiltshire, England, situated on the River Avon and known historically for its woollen industry and later manufacturing.
-
D.
Cippenham
Cippenham is a suburban area and former village within the town of Slough in Berkshire, England.
-
E.
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.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07801fa8081909098d00947bf8f7f |
completed | April 28, 2026, 9:04 a.m. |
Created at: April 16, 2026, 6:53 p.m.