Triple
T5618465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngo Dinh Can |
E147537
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Hue |
E116514
|
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: Hue | Statement: [Ngo Dinh Can, residence, Hue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hue Context triple: [Ngo Dinh Can, residence, Hue]
-
A.
Hue
chosen
Hue is a historic city in central Vietnam that served as the former imperial capital and was a major battleground during the Vietnam War.
-
B.
Buren
Buren is a historic Dutch town in the province of Gelderland, known for its ties to the Dutch royal family and its well-preserved medieval character.
-
C.
Buren
Buren is the entomologist who formally described the invasive red imported fire ant species Solenopsis invicta.
-
D.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
E.
Bordo
Bordo is the popular nickname for FK Sarajevo, a prominent Bosnian football club known for its maroon team colors.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021dd5d0081909d18d16596fac507 |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a0ed3748190875aacdf5e9ee211 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:40 p.m.