Triple
T23288933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Korea–Russia border |
E589971
|
entity |
| Predicate | connectsSettlement |
P8239
|
FINISHED |
| Object |
Tumangang
Tumangang is a North Korean border town that serves as a key rail and road gateway for trade and transit between North Korea and Russia.
|
E1580159
|
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: Tumangang | Statement: [North Korea–Russia border, connectsSettlement, Tumangang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumangang Context triple: [North Korea–Russia border, connectsSettlement, Tumangang]
-
A.
Tulodong
Tulodong was a 10th-century king of the Medang Mataram Kingdom in Central Java, Indonesia.
-
B.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
C.
Tangalan
Tangalan is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, marine sanctuaries, and natural attractions.
-
D.
Tinglayan
Tinglayan is a rural municipality in the Philippine province of Kalinga, known for its mountainous terrain, traditional Kalinga culture, and rice terraces.
-
E.
Maitum
Maitum is a coastal municipality in the province of Sarangani in the Philippines, known for its archaeological sites and prehistoric anthropomorphic burial jars.
- 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: Tumangang Triple: [North Korea–Russia border, connectsSettlement, Tumangang]
Generated description
Tumangang is a North Korean border town that serves as a key rail and road gateway for trade and transit between North Korea and Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tumangang Target entity description: Tumangang is a North Korean border town that serves as a key rail and road gateway for trade and transit between North Korea and Russia.
-
A.
Tulodong
Tulodong was a 10th-century king of the Medang Mataram Kingdom in Central Java, Indonesia.
-
B.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
C.
Tangalan
Tangalan is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, marine sanctuaries, and natural attractions.
-
D.
Tinglayan
Tinglayan is a rural municipality in the Philippine province of Kalinga, known for its mountainous terrain, traditional Kalinga culture, and rice terraces.
-
E.
Maitum
Maitum is a coastal municipality in the province of Sarangani in the Philippines, known for its archaeological sites and prehistoric anthropomorphic burial jars.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19649570c8190b565fafa55b1f886 |
completed | April 29, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c8c2f9081908123a02dcc37ea30 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4ee292f08190a44326d433f37c65 |
completed | May 19, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4f796b688190a8971ebd238e08f2 |
completed | May 19, 2026, 11:54 a.m. |
Created at: April 17, 2026, 5:01 p.m.