Triple
T14998746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pare people |
E374026
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Wapare
Wapare are an ethnic group native to northeastern Tanzania, known for their distinct Pare language and rich agricultural and trading traditions.
|
E1131076
|
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: Wapare | Statement: [Pare people, alsoKnownAs, Wapare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wapare Context triple: [Pare people, alsoKnownAs, Wapare]
-
A.
Wapixana
Wapixana is an indigenous Arawakan language spoken by the Wapishana people in parts of Brazil and Guyana.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Waiyana
Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
-
D.
Walatowa
Walatowa is the traditional Towa name for Jemez Pueblo, a Native American community in north-central New Mexico known for its rich cultural and linguistic heritage.
-
E.
Wala
The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
- 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: Wapare Triple: [Pare people, alsoKnownAs, Wapare]
Generated description
Wapare are an ethnic group native to northeastern Tanzania, known for their distinct Pare language and rich agricultural and trading traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wapare Target entity description: Wapare are an ethnic group native to northeastern Tanzania, known for their distinct Pare language and rich agricultural and trading traditions.
-
A.
Wapixana
Wapixana is an indigenous Arawakan language spoken by the Wapishana people in parts of Brazil and Guyana.
-
B.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
C.
Waiyana
Waiyana is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
-
D.
Walatowa
Walatowa is the traditional Towa name for Jemez Pueblo, a Native American community in north-central New Mexico known for its rich cultural and linguistic heritage.
-
E.
Wala
The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969c3ba88190899f06b185e94ccf |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe972728dc8190a9cf2a3e984b05a7 |
completed | May 9, 2026, 2:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9790d1d081908fc94829d3104e07 |
completed | May 9, 2026, 2:10 a.m. |
Created at: April 10, 2026, 2:54 a.m.