Triple
T8193897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Province, Kenya |
E191379
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Nyeri
Nyeri is a major town in Kenya known as an administrative, commercial, and agricultural hub in the central highlands near Mount Kenya.
|
E718366
|
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: Nyeri | Statement: [Central Province, Kenya, capital, Nyeri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyeri Context triple: [Central Province, Kenya, capital, Nyeri]
-
A.
Naristi
The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
-
B.
Nemocón
Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
-
C.
Nese
Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
-
D.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
E.
ney
The ney is an end-blown flute central to Middle Eastern and particularly Ottoman classical and Sufi music, known for its breathy, expressive tone.
- 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: Nyeri Triple: [Central Province, Kenya, capital, Nyeri]
Generated description
Nyeri is a major town in Kenya known as an administrative, commercial, and agricultural hub in the central highlands near Mount Kenya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nyeri Target entity description: Nyeri is a major town in Kenya known as an administrative, commercial, and agricultural hub in the central highlands near Mount Kenya.
-
A.
Naristi
The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
-
B.
Nemocón
Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
-
C.
Nese
Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
-
D.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
E.
ney
The ney is an end-blown flute central to Middle Eastern and particularly Ottoman classical and Sufi music, known for its breathy, expressive tone.
- 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c1f02248190adbe56a7d6be3419 |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cceda1b22c8190acc1a2cd0fe36b70 |
completed | April 1, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69ccf1b706f08190993f4a75eac5f49c |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd059457788190a900402ee4cd50d5 |
completed | April 1, 2026, 11:46 a.m. |
Created at: March 30, 2026, 5:42 p.m.