Triple
T6446479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonga (Zimbabwe) |
E138354
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Nambya |
E283752
|
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: Nambya | Statement: [Tonga (Zimbabwe), neighboringLanguages, Nambya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nambya Context triple: [Tonga (Zimbabwe), neighboringLanguages, Nambya]
-
A.
Nambya
chosen
Nambya are a Bantu-speaking ethnic group primarily found in northwestern Zimbabwe and parts of Botswana, known for their distinct language and cultural traditions.
-
B.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
-
C.
Dasuya
Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
-
D.
Nindra
Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
-
E.
Naba-Nita
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698edeac81909426902471d8a57b |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bcd09e0819097eb60d13e8058dd |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:46 p.m.