Triple
T11258830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandton |
E266508
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Inanda
Inanda is an affluent residential suburb within Sandton, Johannesburg, known for its leafy streets, upscale homes, and proximity to major business and shopping districts.
|
E914711
|
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: Inanda | Statement: [Sandton, hasPart, Inanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inanda Context triple: [Sandton, hasPart, Inanda]
-
A.
Inanda
Inanda is a township in the eThekwini Metropolitan Municipality near Durban, South Africa, historically significant as the home of several key anti-apartheid figures and movements.
-
B.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
C.
Noukadubi
Noukadubi is a 2011 Bengali-language film adaptation of Rabindranath Tagore’s novel of the same name, directed by Rituparno Ghosh.
-
D.
Inama
"Inama" is a popular Tanzanian hit song by Diamond Platnumz featuring Fally Ipupa, known for its catchy Afro-pop sound and cross-border appeal in East and Central Africa.
-
E.
Nindra
Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
- 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: Inanda Triple: [Sandton, hasPart, Inanda]
Generated description
Inanda is an affluent residential suburb within Sandton, Johannesburg, known for its leafy streets, upscale homes, and proximity to major business and shopping districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inanda Target entity description: Inanda is an affluent residential suburb within Sandton, Johannesburg, known for its leafy streets, upscale homes, and proximity to major business and shopping districts.
-
A.
Inanda
Inanda is a township in the eThekwini Metropolitan Municipality near Durban, South Africa, historically significant as the home of several key anti-apartheid figures and movements.
-
B.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
C.
Noukadubi
Noukadubi is a 2011 Bengali-language film adaptation of Rabindranath Tagore’s novel of the same name, directed by Rituparno Ghosh.
-
D.
Inama
"Inama" is a popular Tanzanian hit song by Diamond Platnumz featuring Fally Ipupa, known for its catchy Afro-pop sound and cross-border appeal in East and Central Africa.
-
E.
Nindra
Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
- 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_69e4ccada158819080e49833e09f84a0 |
completed | April 19, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69e4d9ec9964819084bd7118e49c41a2 |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ddab4ef48190ab7f371da765c6c0 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:31 p.m.