Triple
T8768674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Myanmar border |
E208400
|
entity |
| Predicate | hasBorderTownOnIndianSide |
P85285
|
FINISHED |
| Object |
Nampong
Nampong is a small border town in Arunachal Pradesh, India, known as a gateway for trade and transit between India and Myanmar.
|
E756074
|
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: Nampong | Statement: [India–Myanmar border, hasBorderTownOnIndianSide, Nampong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nampong Context triple: [India–Myanmar border, hasBorderTownOnIndianSide, Nampong]
-
A.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
B.
Seogwipo
Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
-
C.
Sokcho
Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
-
D.
Nam-gu
Nam-gu is a central administrative district of the metropolitan city of Ulsan in South Korea, known for its residential areas, commercial centers, and proximity to major industrial complexes.
-
E.
Nam-gu
Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
- 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: Nampong Triple: [India–Myanmar border, hasBorderTownOnIndianSide, Nampong]
Generated description
Nampong is a small border town in Arunachal Pradesh, India, known as a gateway for trade and transit between India and Myanmar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nampong Target entity description: Nampong is a small border town in Arunachal Pradesh, India, known as a gateway for trade and transit between India and Myanmar.
-
A.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
B.
Seogwipo
Seogwipo is a coastal city on South Korea’s Jeju Island known for its waterfalls, volcanic landscapes, and popular tourist attractions.
-
C.
Sokcho
Sokcho is a coastal city in northeastern South Korea known for its beaches, seafood, and proximity to Seoraksan National Park.
-
D.
Nam-gu
Nam-gu is a central administrative district of the metropolitan city of Ulsan in South Korea, known for its residential areas, commercial centers, and proximity to major industrial complexes.
-
E.
Nam-gu
Nam-gu is a coastal district in the southeastern South Korean city of Busan, known for its residential areas, universities, and seaside parks.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eec49708190ba760d81a7974c50 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51af01e48190af674a03d0768f3b |
completed | April 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69cf5291147481908179e75547cf981d |
completed | April 3, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5331475c8190b3e8c565f0be7dfd |
completed | April 3, 2026, 5:42 a.m. |
Created at: March 30, 2026, 6:41 p.m.