Triple
T6172053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailsham |
E137724
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object |
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
|
E573743
|
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: Hellingly | Statement: [Hailsham, hasNeighbouringSettlement, Hellingly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellingly Context triple: [Hailsham, hasNeighbouringSettlement, Hellingly]
-
A.
Laleham
Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
-
B.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
-
C.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
-
D.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
E.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
- 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: Hellingly Triple: [Hailsham, hasNeighbouringSettlement, Hellingly]
Generated description
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hellingly Target entity description: Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
A.
Laleham
Laleham is a riverside village in Surrey, England, situated on the River Thames and known for its historic church, green spaces, and residential character.
-
B.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
-
C.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
-
D.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
E.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d9319548190980c99f692bd4115 |
completed | March 22, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141ad559881909076b6ab34b14f2b |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c14889a3b48190bf5d523cbc261d7c |
completed | March 23, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c148de2d64819094d623e7f3b0f5f8 |
completed | March 23, 2026, 2:06 p.m. |
Created at: March 22, 2026, 4:18 p.m.