Triple
T8861612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tran Van Huong |
E210900
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Kinh |
E41504
|
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: Kinh | Statement: [Tran Van Huong, ethnicGroup, Kinh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinh Context triple: [Tran Van Huong, ethnicGroup, Kinh]
-
A.
Kinh
chosen
The Kinh are the majority ethnic group of Vietnam, historically dominant in its politics, culture, and economy.
-
B.
Wujing
Wujing is a residential town in Shanghai, China, located within the city's Minhang District.
-
C.
Cheonji
Cheonji is the high-altitude crater lake atop Paektu Mountain on the border of China and North Korea, renowned for its scenic beauty and volcanic origin.
-
D.
Kothao Keu Nei
Kothao Keu Nei is a hugely popular Bangladeshi television drama series and novel by Humayun Ahmed, centered on the iconic character Baker Bhai and known for its profound social impact and emotional storytelling.
-
E.
Kashin
Kashin is a historic town in western Russia known for its medieval heritage and location along the Kashinka River.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0c248108190815d593f44029183 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:50 p.m.