Triple
T21418277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wa Naa’s Palace |
E528362
|
entity |
| Predicate | associatedPeople |
P37
|
FINISHED |
| Object | Wa Naa |
—
|
NE NERFINISHED |
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: Wa Naa | Statement: [Wa Naa’s Palace, associatedPeople, Wa Naa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wa Naa Context triple: [Wa Naa’s Palace, associatedPeople, Wa Naa]
-
A.
Wa Naa
chosen
Wa Naa is the traditional paramount chief and overlord of the Wala people in the Upper West Region of Ghana.
-
B.
Na Wa Ta
Na Wa Ta is the Burmese-language acronym for Myanmar’s former military junta, the State Law and Order Restoration Council, which ruled the country after the 1988 coup.
-
C.
Ya Wa
"Ya Wa" is a track by the artist Street OT, likely within the hip-hop or rap genre.
-
D.
Wun Wun
Wun Wun is a giant allied with Jon Snow in Game of Thrones, known for his immense strength and pivotal role in key battles.
-
E.
Wanano
Wanano is an indigenous Tucanoan language spoken by the Wanano people of the northwest Amazon region in Brazil and Colombia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d29f948190b820c92014d1c53a |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:46 p.m.