Triple
T14170084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meru people |
E351181
|
entity |
| Predicate | subgroup |
P10
|
FINISHED |
| Object |
Tharaka
Tharaka are a distinct subgroup of the Meru people of Kenya, known for their unique language variety and cultural traditions.
|
E1086411
|
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: Tharaka | Statement: [Meru people, subgroup, Tharaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tharaka Context triple: [Meru people, subgroup, Tharaka]
-
A.
Nagaina
Nagaina is the deadly female cobra antagonist in Rudyard Kipling’s “Rikki-Tikki-Tavi,” known for plotting against the human family and their mongoose protector.
-
B.
Nungua
Nungua is a coastal town and suburb of Accra in southern Ghana, known for its fishing community and vibrant local culture.
-
C.
Ruaraka
Ruaraka is a mixed residential, industrial, and commercial suburb in northeastern Nairobi, Kenya, known for its breweries, factories, and proximity to major transport routes.
-
D.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
E.
Kayeli
Kayeli is an extinct Austronesian language that was once spoken on Buru Island in Indonesia.
- 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: Tharaka Triple: [Meru people, subgroup, Tharaka]
Generated description
Tharaka are a distinct subgroup of the Meru people of Kenya, known for their unique language variety and cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tharaka Target entity description: Tharaka are a distinct subgroup of the Meru people of Kenya, known for their unique language variety and cultural traditions.
-
A.
Nagaina
Nagaina is the deadly female cobra antagonist in Rudyard Kipling’s “Rikki-Tikki-Tavi,” known for plotting against the human family and their mongoose protector.
-
B.
Nungua
Nungua is a coastal town and suburb of Accra in southern Ghana, known for its fishing community and vibrant local culture.
-
C.
Ruaraka
Ruaraka is a mixed residential, industrial, and commercial suburb in northeastern Nairobi, Kenya, known for its breweries, factories, and proximity to major transport routes.
-
D.
Tamba
Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
-
E.
Kayeli
Kayeli is an extinct Austronesian language that was once spoken on Buru Island in Indonesia.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1d57dfa88190a4cd9b6fceddbc3b |
completed | May 7, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1e267dcc819087a24cbfea2736db |
completed | May 7, 2026, 11:20 p.m. |
Created at: April 10, 2026, 1:01 a.m.