Triple
T1197009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguyen Van Thieu |
E25689
|
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: [Nguyen Van Thieu, ethnicGroup, Kinh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinh Context triple: [Nguyen Van Thieu, ethnicGroup, Kinh]
-
A.
Kinh
chosen
The Kinh are the majority ethnic group of Vietnam, historically dominant in its politics, culture, and economy.
-
B.
Tripitaka
Tripitaka is the traditional Buddhist canon, comprising three collections of teachings that form the foundational scriptures of the Buddhist religion.
-
C.
Jing
Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
-
D.
Kahuripan
Kahuripan was an early 11th-century Javanese kingdom in eastern Java that emerged after the fall of the Medang Kingdom and laid the groundwork for later states like Kediri.
-
E.
Kōkyo
Kōkyo is the primary residence of Japan’s Emperor, a historic palace complex and gardens located in central Tokyo.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9a305c819091513394f1b67784 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7658cae8819081da26480926ff83 |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:46 p.m.