Triple
T22846200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngo Dinh Luyen |
E566224
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ngo |
—
|
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: Ngo | Statement: [Ngo Dinh Luyen, familyName, Ngo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngo Context triple: [Ngo Dinh Luyen, familyName, Ngo]
-
A.
Ngo
chosen
Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
-
B.
Nagô
Nagô refers to Yoruba-speaking African people and their descendants in Brazil, who played a central role in Afro-Brazilian religious and cultural traditions and in resistance movements such as the Malê revolt.
-
C.
Nong
Nong is an ethnic group belonging to the Northern Tai branch, traditionally inhabiting parts of southern China and mainland Southeast Asia.
-
D.
Kango
Kango is a town in western Gabon known as a transport hub along the N1 road and a gateway between the capital Libreville and the interior regions.
-
E.
Namgia
Namgia is a small Himalayan village in India’s Himachal Pradesh, known as one of the last settlements before the Indo-Tibetan border near the high mountain pass of Shipki La.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e88fb408190a58c91486ea65169 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.