Triple
T16453919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braintree District |
E399624
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bocking |
E406700
|
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: Bocking | Statement: [Braintree District, contains, Bocking]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bocking Context triple: [Braintree District, contains, Bocking]
-
A.
Bocking
chosen
Bocking is a village and former civil parish that now forms part of the town of Braintree in Essex, England.
-
B.
Biggleswade
Biggleswade is a market town in eastern England situated on the River Ivel, known historically for agriculture and as a local commercial center.
-
C.
Leighton Buzzard
Leighton Buzzard is a historic market town in southern England known for its traditional high street, canal-side setting, and proximity to London.
-
D.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
E.
Saffron Walden
Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce259d88190803930051409d72c |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005815efc48190868305f428cb9085 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.