Triple
T5690061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngo |
E125405
|
entity |
| Predicate | sharesOriginWith |
P3438
|
FINISHED |
| Object | Ngô |
E125405
|
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: Ngô | Statement: [Ngo, sharesOriginWith, Ngô]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngô Context triple: [Ngo, sharesOriginWith, Ngô]
-
A.
Ngo
chosen
Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
-
B.
Thieu
Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
-
C.
Hoan
Hoan is a surname most notably associated with Daniel Hoan, a long-serving Socialist mayor of Milwaukee in the early 20th century.
-
D.
Giap
Giap is a Vietnamese given name most famously borne by General Vo Nguyen Giap, the prominent military leader during the First Indochina War and the Vietnam War.
-
E.
Châu Đốc
Châu Đốc is a riverine city in southern Vietnam near the Cambodian border, known for its bustling trade, cultural diversity, and proximity to the sacred pilgrimage site of Mount Sam.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e340a08190b6175fad3e9a32b6 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0ade6648190b29c64f83ceed326 |
completed | March 23, 2026, 3:17 a.m. |
Created at: March 22, 2026, 3:44 p.m.