Triple
T22941095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Võ Tòng Xuân |
E569730
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Võ |
E1550103
|
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: Võ | Statement: [Võ Tòng Xuân, familyName, Võ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Võ Context triple: [Võ Tòng Xuân, familyName, Võ]
-
A.
Võ
chosen
Võ is a common Vietnamese surname shared by many notable figures in politics, military history, arts, and sports.
-
B.
Vovin
Vovin is a surname most notably associated with Alexander Vovin, a prominent linguist and specialist in East Asian historical languages.
-
C.
Vokil
Vokil was a medieval Bulgarian ruling dynasty that succeeded the Dulo clan as the leadership of the early Bulgarian state.
-
D.
Van Dinh
Van Dinh is a small town in northern Vietnam that serves as the administrative and commercial center of Ung Hoa District in Hanoi.
-
E.
Duong Dong
Duong Dong is the main town and commercial center of Phu Quoc Island in Vietnam, known for its bustling markets, beaches, and role as the island’s primary hub for tourism and services.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181394fec81909da791bb346dbd0a |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc25492ec81908e8366efa8109791 |
completed | May 19, 2026, 1:52 a.m. |
Created at: April 17, 2026, 3:45 p.m.