Triple
T8540802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nairobi County |
E202188
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Westlands
Westlands is a prominent commercial and residential district in Nairobi known for its shopping centers, nightlife, and business hubs.
|
E741119
|
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: Westlands | Statement: [Nairobi County, contains, Westlands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westlands Context triple: [Nairobi County, contains, Westlands]
-
A.
Walworth
Walworth is a district in the London Borough of Southwark, England, known for its historic working-class roots and proximity to central London.
-
B.
Derriford
Derriford is a district in the north of Plymouth, England, known for its major hospital, business parks, and educational institutions.
-
C.
Waterside District
Waterside District is a waterfront dining, entertainment, and shopping destination located along the Elizabeth River in downtown Norfolk, Virginia.
-
D.
Digbeth
Digbeth is a historic inner-city district of Birmingham, England, known for its industrial heritage and vibrant creative and nightlife scenes.
-
E.
Wythenshawe
Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
- 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: Westlands Triple: [Nairobi County, contains, Westlands]
Generated description
Westlands is a prominent commercial and residential district in Nairobi known for its shopping centers, nightlife, and business hubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westlands Target entity description: Westlands is a prominent commercial and residential district in Nairobi known for its shopping centers, nightlife, and business hubs.
-
A.
Walworth
Walworth is a district in the London Borough of Southwark, England, known for its historic working-class roots and proximity to central London.
-
B.
Derriford
Derriford is a district in the north of Plymouth, England, known for its major hospital, business parks, and educational institutions.
-
C.
Waterside District
Waterside District is a waterfront dining, entertainment, and shopping destination located along the Elizabeth River in downtown Norfolk, Virginia.
-
D.
Digbeth
Digbeth is a historic inner-city district of Birmingham, England, known for its industrial heritage and vibrant creative and nightlife scenes.
-
E.
Wythenshawe
Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e10bc081909a7210c577b807fb |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6da3d65c819087ed6b46dfc35885 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.