Triple
T5979060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quang Tri Province |
E133073
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Dong Ha
Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
|
E575922
|
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: Dong Ha | Statement: [Quang Tri Province, capital, Dong Ha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dong Ha Context triple: [Quang Tri Province, capital, Dong Ha]
-
A.
Lee Hak-rae
Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
-
B.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
C.
Jang Deok-su
Jang Deok-su is a brutal, debt-ridden gangster who serves as one of the primary antagonists in the South Korean survival drama series "Squid Game."
-
D.
Chung Sun-man
Chung Sun-man is a South Korean athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1988 Seoul Summer Olympics.
-
E.
Cho Sang-woo
Cho Sang-woo is a central character in the South Korean series "Squid Game," portrayed as a once-successful investment banker whose desperation and moral decline drive much of the show's tension and drama.
- 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: Dong Ha Triple: [Quang Tri Province, capital, Dong Ha]
Generated description
Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dong Ha Target entity description: Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
-
A.
Lee Hak-rae
Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
-
B.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
C.
Jang Deok-su
Jang Deok-su is a brutal, debt-ridden gangster who serves as one of the primary antagonists in the South Korean survival drama series "Squid Game."
-
D.
Chung Sun-man
Chung Sun-man is a South Korean athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1988 Seoul Summer Olympics.
-
E.
Cho Sang-woo
Cho Sang-woo is a central character in the South Korean series "Squid Game," portrayed as a once-successful investment banker whose desperation and moral decline drive much of the show's tension and drama.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a40233081909c04f62ec0382bfd |
completed | March 22, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e909f9c8190a78254d81437f404 |
completed | March 23, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69c1c5f6eb588190802e48624de609ec |
completed | March 23, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1c6d0f3c0819098f9a5d8afb43eb1 |
completed | March 23, 2026, 11:03 p.m. |
Created at: March 22, 2026, 4:04 p.m.