Triple
T17666884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongzuo |
E440405
|
entity |
| Predicate | borderPort |
P46215
|
FINISHED |
| Object |
Longbang
Longbang is a border port town in southern China’s Guangxi region that serves as an important gateway for trade and travel between China and Vietnam.
|
E1280935
|
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: Longbang | Statement: [Chongzuo, borderPort, Longbang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longbang Context triple: [Chongzuo, borderPort, Longbang]
-
A.
Banggae
Banggae is an alternative name for the Banggai language, an Austronesian language spoken in the Banggai Islands of Indonesia.
-
B.
Bomunsan
Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
-
C.
Pangyo
Pangyo is a planned high-tech new town in Seongnam, South Korea, known as a major IT and startup hub often dubbed the "Korean Silicon Valley."
-
D.
Dal-dong
Dal-dong is a neighborhood in Ulsan, South Korea, known for encompassing the large urban green space of Ulsan Grand Park.
-
E.
Sinseongbong
Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
- 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: Longbang Triple: [Chongzuo, borderPort, Longbang]
Generated description
Longbang is a border port town in southern China’s Guangxi region that serves as an important gateway for trade and travel between China and Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longbang Target entity description: Longbang is a border port town in southern China’s Guangxi region that serves as an important gateway for trade and travel between China and Vietnam.
-
A.
Banggae
Banggae is an alternative name for the Banggai language, an Austronesian language spoken in the Banggai Islands of Indonesia.
-
B.
Bomunsan
Bomunsan is a prominent mountain and recreational area in Daejeon, South Korea, known for its hiking trails, temples, and city views.
-
C.
Pangyo
Pangyo is a planned high-tech new town in Seongnam, South Korea, known as a major IT and startup hub often dubbed the "Korean Silicon Valley."
-
D.
Dal-dong
Dal-dong is a neighborhood in Ulsan, South Korea, known for encompassing the large urban green space of Ulsan Grand Park.
-
E.
Sinseongbong
Sinseongbong is a prominent mountain peak located within the Gyeryongsan mountain range in South Korea.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46eaaaec8819086977d8a5210c44e |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02165e842c8190bb28bd8a4b1438ad |
completed | May 11, 2026, 5:48 p.m. |
| NEDg | Description generation | batch_6a021838dae081908bdd74733bb272ee |
completed | May 11, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0218ba7f14819097e07caccdf8ff83 |
completed | May 11, 2026, 5:58 p.m. |
Created at: April 10, 2026, 9:57 a.m.