Triple
T7767871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaihua |
E178994
|
entity |
| Predicate | ethnicGroupPresent |
P1898
|
FINISHED |
| Object | Yao |
E428479
|
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: Yao | Statement: [Huaihua, ethnicGroupPresent, Yao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yao Context triple: [Huaihua, ethnicGroupPresent, Yao]
-
A.
Yao
Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
-
B.
Yao
Yao is a Southern Bantu language spoken primarily in Malawi, Mozambique, and Tanzania by the Yao people.
-
C.
Yao
chosen
Yao are an ethnic minority people in southern China and Southeast Asia known for their distinct languages, traditional clothing, and mountain village communities.
-
D.
Yao
Yao is a calm, enigmatic wellness consultant at the remote health resort in Liane Moriarty’s novel (and its TV adaptation) "Nine Perfect Strangers."
-
E.
Haad Yuan
Haad Yuan is a small, secluded beach on Thailand’s Ko Pha Ngan island, known for its tranquil atmosphere, clear waters, and relaxed, off-the-beaten-path vibe.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70435b7f88190a5e68e6ae701c58f |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e4976c81909ff34dcdcae96999 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.