Triple
T11258837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandton |
E266508
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Wendywood
Wendywood is a residential suburb located within the affluent Sandton area of Johannesburg, South Africa.
|
E918595
|
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: Wendywood | Statement: [Sandton, hasPart, Wendywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendywood Context triple: [Sandton, hasPart, Wendywood]
-
A.
Berrywood
Berrywood is a waterfront residential community in Severna Park, Maryland, known for its access to the Severn River and associated recreational amenities.
-
B.
Weston Woods
Weston Woods is a large coastal woodland and nature reserve overlooking the seaside town of Weston-super-Mare in North Somerset, England.
-
C.
Wildwood Grove
Wildwood Grove is a family-friendly themed land at Dollywood featuring nature-inspired attractions, rides, and immersive woodland settings.
-
D.
Ashwood Dale
Ashwood Dale is a scenic limestone valley and wooded gorge in Derbyshire, England, known for its dramatic cliffs, caves, and walking routes near Buxton.
-
E.
Wildwood Crest
Wildwood Crest is a seaside borough in Cape May County, New Jersey, known for its family-friendly beaches, classic motels, and location near the southern end of the Jersey Shore.
- 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: Wendywood Triple: [Sandton, hasPart, Wendywood]
Generated description
Wendywood is a residential suburb located within the affluent Sandton area of Johannesburg, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wendywood Target entity description: Wendywood is a residential suburb located within the affluent Sandton area of Johannesburg, South Africa.
-
A.
Berrywood
Berrywood is a waterfront residential community in Severna Park, Maryland, known for its access to the Severn River and associated recreational amenities.
-
B.
Weston Woods
Weston Woods is a large coastal woodland and nature reserve overlooking the seaside town of Weston-super-Mare in North Somerset, England.
-
C.
Wildwood Grove
Wildwood Grove is a family-friendly themed land at Dollywood featuring nature-inspired attractions, rides, and immersive woodland settings.
-
D.
Ashwood Dale
Ashwood Dale is a scenic limestone valley and wooded gorge in Derbyshire, England, known for its dramatic cliffs, caves, and walking routes near Buxton.
-
E.
Wildwood Crest
Wildwood Crest is a seaside borough in Cape May County, New Jersey, known for its family-friendly beaches, classic motels, and location near the southern end of the Jersey Shore.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e936cb048190b4d6fb2851ef8932 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5257dd1e48190a9352fc8b62418da |
completed | April 19, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69e52a78951c8190923711067cf4e7e5 |
completed | April 19, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5319b6ef0819096debabfb6ffbe70 |
completed | April 19, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:31 p.m.