Triple
T22397313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paignton |
E553667
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Goodrington
Goodrington is a seaside area on the English Riviera in Devon, known for its sandy beaches, family attractions, and coastal railway views.
|
E1534650
|
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: Goodrington | Statement: [Paignton, hasNeighbourhood, Goodrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodrington Context triple: [Paignton, hasNeighbourhood, Goodrington]
-
A.
Groomsport
Groomsport is a coastal village in County Down, Northern Ireland, known for its historic harbour and seaside character.
-
B.
Gotherington
Gotherington is a small village and civil parish in Gloucestershire, England, situated near Cheltenham in the Cotswolds.
-
C.
Waterston
Waterston is a surname most notably associated with the American acting family that includes veteran actor Sam Waterston and his children.
-
D.
Gadebridge
Gadebridge is a residential area and suburb of Hemel Hempstead in Hertfordshire, England.
-
E.
Upington
Upington is a town in South Africa’s Northern Cape province, serving as a key regional center on the Orange River and a gateway to nearby desert and wildlife attractions.
- 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: Goodrington Triple: [Paignton, hasNeighbourhood, Goodrington]
Generated description
Goodrington is a seaside area on the English Riviera in Devon, known for its sandy beaches, family attractions, and coastal railway views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goodrington Target entity description: Goodrington is a seaside area on the English Riviera in Devon, known for its sandy beaches, family attractions, and coastal railway views.
-
A.
Groomsport
Groomsport is a coastal village in County Down, Northern Ireland, known for its historic harbour and seaside character.
-
B.
Gotherington
Gotherington is a small village and civil parish in Gloucestershire, England, situated near Cheltenham in the Cotswolds.
-
C.
Waterston
Waterston is a surname most notably associated with the American acting family that includes veteran actor Sam Waterston and his children.
-
D.
Gadebridge
Gadebridge is a residential area and suburb of Hemel Hempstead in Hertfordshire, England.
-
E.
Upington
Upington is a town in South Africa’s Northern Cape province, serving as a key regional center on the Orange River and a gateway to nearby desert and wildlife attractions.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c8d11081909472ba3dc07c52f8 |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aeacb18c48190a6f8d239a104959d |
completed | May 18, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb6252248190a7cb0df06afd4db2 |
completed | May 18, 2026, 10:35 a.m. |
Created at: April 16, 2026, 8:45 p.m.