Triple
T16364296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qua people |
E397393
|
entity |
| Predicate | hasAutonym |
P1435
|
FINISHED |
| Object | Qua |
E1208245
|
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: Qua | Statement: [Qua people, hasAutonym, Qua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qua Context triple: [Qua people, hasAutonym, Qua]
-
A.
Qua
chosen
Qua are an indigenous ethnolinguistic group of Nigeria known for their distinct language and cultural traditions.
-
B.
Quaama
Quaama is a small rural village in New South Wales, Australia, situated within the Bega Valley region.
-
C.
QUO
QUO is the IATA airport code for Victor Attah International Airport serving Uyo in Akwa Ibom State, Nigeria.
-
D.
Teqoa
Teqoa is an ancient town in the southern West Bank, historically known as Tekoa, with biblical associations and a long-standing Palestinian community.
-
E.
Quinet
Quinet was a notable philhellene recognized for his support of Greek independence and culture.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3bb5e481909669164a37d76b19 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00355df6188190929be8584b5ac87e |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:08 a.m.