Triple
T15407376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karu |
E368494
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | New Nyanya |
E972852
|
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: New Nyanya | Statement: [Karu, hasSettlement, New Nyanya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Nyanya Context triple: [Karu, hasSettlement, New Nyanya]
-
A.
Nyanya
chosen
Nyanya is a suburban district on the outskirts of Abuja, Nigeria’s capital, known for its busy transport hub and residential communities.
-
B.
Nguva na Nyoka
Nguva na Nyoka is a multimedia art series by Wangechi Mutu that explores hybrid female forms, mythology, and postcolonial identity through surreal, fantastical imagery.
-
C.
Nya
Nya is a central character in the Lego Ninjago franchise, known as the Water Ninja and sister of Kai.
-
D.
Deya Neya
Deya Neya is a classic Bengali film best known for featuring legendary actor Uttam Kumar in a memorable leading role.
-
E.
New Aiyansh
New Aiyansh is a small Nisga’a community in northwestern British Columbia, Canada, known as an administrative and cultural center of the Nisga’a Nation.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.