Triple
T4482833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wangechi Mutu |
E100172
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Nairobi, Kenya |
E6371
|
NE FINISHED |
How this triple was built (2 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: Nairobi, Kenya | Statement: [Wangechi Mutu, birthPlace, Nairobi, Kenya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nairobi, Kenya Context triple: [Wangechi Mutu, birthPlace, Nairobi, Kenya]
-
A.
Nairobi
Nairobi is a fan-favorite character from the Spanish series "Money Heist," known for her sharp leadership, optimism, and expertise in overseeing the gang’s money-printing operations.
-
B.
Nairobi
chosen
Nairobi is the capital and largest city of Kenya, serving as a major political, economic, and cultural hub in East Africa.
-
C.
Kasarani, Nairobi
Kasarani, Nairobi is a residential and commercial district in northeastern Nairobi known for its sports facilities, educational institutions, and growing urban development.
-
D.
Nairobi Metropolitan Region
Nairobi Metropolitan Region is the expansive urban and economic area centered on Kenya’s capital, Nairobi, encompassing the city and its surrounding counties and towns.
-
E.
Madaraka, Nairobi
Madaraka is a residential and educational neighborhood in Nairobi, Kenya, known for hosting institutions such as Strathmore University and its proximity to the city center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fd35088190be79efc6c7317e2a |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b63782b8588190ba34c923ed4b792d |
completed | March 15, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:36 p.m.