Triple
T980365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tet Offensive |
E21152
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Hue
Hue is a historic city in central Vietnam that served as the former imperial capital and was a major battleground during the Vietnam War.
|
E116514
|
NE FINISHED |
How this triple was built (4 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: [Tet Offensive, location, Hue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hue Context triple: [Tet Offensive, location, Hue]
-
A.
Goodhue
Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
-
B.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
C.
Jacaranda City
Jacaranda City is a popular nickname for Pretoria, South Africa’s administrative capital, famed for its many jacaranda-lined streets that bloom purple in spring.
-
D.
Kandel
Kandel is a prominent mountain in Germany’s Black Forest region, known for its scenic views and outdoor recreation opportunities.
-
E.
Vian
Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hue Triple: [Tet Offensive, location, Hue]
Generated description
Hue is a historic city in central Vietnam that served as the former imperial capital and was a major battleground during the Vietnam War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hue Target entity description: Hue is a historic city in central Vietnam that served as the former imperial capital and was a major battleground during the Vietnam War.
-
A.
Goodhue
Goodhue is a surname most notably associated with Bertram Grosvenor Goodhue, an influential American architect known for his Gothic Revival and early modernist designs.
-
B.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
C.
Jacaranda City
Jacaranda City is a popular nickname for Pretoria, South Africa’s administrative capital, famed for its many jacaranda-lined streets that bloom purple in spring.
-
D.
Kandel
Kandel is a prominent mountain in Germany’s Black Forest region, known for its scenic views and outdoor recreation opportunities.
-
E.
Vian
Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
- F. None of above. chosen
Provenance (5 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b47b58ec81908d95f151b9af3dae |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cde59ac8190a04e3412805bc130 |
completed | March 7, 2026, 12:41 p.m. |
| NEDg | Description generation | batch_69ac1d3b36c08190852dc68a1dc282f2 |
completed | March 7, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1ded444c81909a7b9f9e3869bd38 |
completed | March 7, 2026, 12:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.