Triple
T22933016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavaeli Kaili |
E569493
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Tawaili Kaili |
—
|
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: Tawaili Kaili | Statement: [Tavaeli Kaili, hasAlternativeName, Tawaili Kaili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tawaili Kaili Context triple: [Tavaeli Kaili, hasAlternativeName, Tawaili Kaili]
-
A.
Tai-Ngon
Tai-Ngon is the former name of Chợ Lớn, the historic Chinese-influenced district that later became part of Ho Chi Minh City in Vietnam.
-
B.
Kaili
Kaili is a county-level city in southeastern Guizhou, China, known as a cultural center of the Miao and Dong ethnic minorities and a gateway to surrounding minority villages.
-
C.
Tawailia
chosen
Tawailia is an alternate name for the Uma language, an Austronesian language spoken in parts of Indonesia.
-
D.
Wenchi
Wenchi is a town in the Bono Region of Ghana known as an important agricultural and historical center.
-
E.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181337ff881909d90cf3f5bae7516 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.