Triple
T22951289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yao language |
E570024
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Tanzania Yao
Tanzania Yao is a regional dialect of the Yao language spoken primarily in parts of Tanzania.
|
E1565585
|
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: Tanzania Yao | Statement: [Yao language, hasDialects, Tanzania Yao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanzania Yao Context triple: [Yao language, hasDialects, Tanzania Yao]
-
A.
Malawi Yao
Malawi Yao is a regional variety of the Yao language spoken primarily in Malawi, distinguished by its own phonological and lexical features.
-
B.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
-
C.
Luba
The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
-
D.
Luba
Luba is a monumental wooden sculpture by artist Ursula von Rydingsvard, exemplifying her signature hand-carved, architectonic style.
-
E.
Tangwani
Tangwani is a town and administrative settlement located within Pakistan’s Kashmore District in the Sindh province.
- 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: Tanzania Yao Triple: [Yao language, hasDialects, Tanzania Yao]
Generated description
Tanzania Yao is a regional dialect of the Yao language spoken primarily in parts of Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanzania Yao Target entity description: Tanzania Yao is a regional dialect of the Yao language spoken primarily in parts of Tanzania.
-
A.
Malawi Yao
Malawi Yao is a regional variety of the Yao language spoken primarily in Malawi, distinguished by its own phonological and lexical features.
-
B.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
-
C.
Luba
The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
-
D.
Luba
Luba is a monumental wooden sculpture by artist Ursula von Rydingsvard, exemplifying her signature hand-carved, architectonic style.
-
E.
Tangwani
Tangwani is a town and administrative settlement located within Pakistan’s Kashmore District in the Sindh province.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a285448190a718734fe933d51a |
completed | April 29, 2026, 3:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd3694d0081909dad3abf94108c62 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd50e7b688190a419424a79612876 |
completed | May 19, 2026, 3:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd7932f9481909d977a857f2f1e63 |
completed | May 19, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:46 p.m.