Triple
T8684631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M11 motorway |
E206125
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Saffron Walden |
E181168
|
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: Saffron Walden | Statement: [M11 motorway, passesNear, Saffron Walden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saffron Walden Context triple: [M11 motorway, passesNear, Saffron Walden]
-
A.
Saffron Walden
chosen
Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
-
B.
Canewdon
Canewdon is a historic rural village in Essex, England, noted for its ancient church, associations with witchcraft folklore, and views over the River Crouch.
-
C.
St Neots
St Neots is a historic market town in eastern England situated on the River Great Ouse, known for its riverside parks and growing commuter population.
-
D.
Sawbridgeworth
Sawbridgeworth is a historic market town in Hertfordshire, England, situated near the River Stort and known for its commuter links to London and surrounding countryside.
-
E.
Biggleswade
Biggleswade is a market town in eastern England situated on the River Ivel, known historically for agriculture and as a local commercial center.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4aeae740819099093906ccc5f640 |
completed | March 31, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3c3c74c81908cd9e881d5963492 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.