Triple
T8073273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Cachar Hills |
E188427
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Langting
Langting is a small town in the Dima Hasao (formerly North Cachar Hills) district of Assam, India, known as a local administrative and transport hub in the hilly region.
|
E710315
|
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: Langting | Statement: [North Cachar Hills, containsSettlement, Langting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langting Context triple: [North Cachar Hills, containsSettlement, Langting]
-
A.
Longchang
Longchang was a Chinese era name used during the Northern Qi dynasty to designate a specific reign period.
-
B.
Hongxi
Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
-
C.
Mianning
Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
-
D.
Yangsansi
Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
-
E.
Jinyang
Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
- 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: Langting Triple: [North Cachar Hills, containsSettlement, Langting]
Generated description
Langting is a small town in the Dima Hasao (formerly North Cachar Hills) district of Assam, India, known as a local administrative and transport hub in the hilly region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langting Target entity description: Langting is a small town in the Dima Hasao (formerly North Cachar Hills) district of Assam, India, known as a local administrative and transport hub in the hilly region.
-
A.
Longchang
Longchang was a Chinese era name used during the Northern Qi dynasty to designate a specific reign period.
-
B.
Hongxi
Hongxi was the brief era name of a Ming dynasty emperor whose short reign marked a transitional period in early 15th-century China.
-
C.
Mianning
Mianning was the personal name of the Daoguang Emperor, a Qing dynasty ruler of China in the early to mid-19th century.
-
D.
Yangsansi
Yangsansi is a city in South Korea located within Gyeonggi Province, forming part of the greater Seoul metropolitan area.
-
E.
Jinyang
Jinyang is the historical name of the city now known as Taiyuan, a major urban and industrial center in northern China’s Shanxi province.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63ecb04881909b1849dc4ef7c2bc |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:27 p.m.