Triple
T1727472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Hertfordshire district |
E37530
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hunsdon
Hunsdon is a rural village and civil parish in Hertfordshire, England, known for its historic airfield and countryside setting.
|
E201533
|
NE FINISHED |
How this triple was built (4 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: Hunsdon | Statement: [East Hertfordshire district, contains, Hunsdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunsdon Context triple: [East Hertfordshire district, contains, Hunsdon]
-
A.
Berkhamsted
Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
-
B.
Dunstable
Dunstable is a historic market town in Bedfordshire, England, known for its location at the crossroads of ancient routes and its proximity to the Chiltern Hills.
-
C.
Abingdon
Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
-
D.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
E.
Haddenham
Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hunsdon Triple: [East Hertfordshire district, contains, Hunsdon]
Generated description
Hunsdon is a rural village and civil parish in Hertfordshire, England, known for its historic airfield and countryside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hunsdon Target entity description: Hunsdon is a rural village and civil parish in Hertfordshire, England, known for its historic airfield and countryside setting.
-
A.
Berkhamsted
Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
-
B.
Dunstable
Dunstable is a historic market town in Bedfordshire, England, known for its location at the crossroads of ancient routes and its proximity to the Chiltern Hills.
-
C.
Abingdon
Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
-
D.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
E.
Haddenham
Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
- F. None of above. chosen
Provenance (5 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa637c26988190ad5c400856684825 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5be1a2c819083b95d55c969b9d6 |
completed | March 8, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69adb8b3c0a48190bf5f3a32d8862c54 |
completed | March 8, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb97b8c8081909a806d16efd5882b |
completed | March 8, 2026, 6:01 p.m. |
Created at: March 4, 2026, 7:30 p.m.