Triple
T22849620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingpho language |
E566321
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Chingp'o
Chingp'o is an alternative name for the Jingpho language spoken by the Jingpo people in parts of Myanmar, China, and India.
|
E1556641
|
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: Chingp'o | Statement: [Jingpho language, hasAlternativeName, Chingp'o]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chingp'o Context triple: [Jingpho language, hasAlternativeName, Chingp'o]
-
A.
Lechang
Lechang is a county-level city administered by Shaoguan in northern Guangdong Province, China, known for its mountainous terrain and role as a regional transport and commercial hub.
-
B.
Wenchi
Wenchi is a town in the Bono Region of Ghana known as an important agricultural and historical center.
-
C.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
D.
Kangchungtse
Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
-
E.
Qichao
Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
- 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: Chingp'o Triple: [Jingpho language, hasAlternativeName, Chingp'o]
Generated description
Chingp'o is an alternative name for the Jingpho language spoken by the Jingpo people in parts of Myanmar, China, and India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chingp'o Target entity description: Chingp'o is an alternative name for the Jingpho language spoken by the Jingpo people in parts of Myanmar, China, and India.
-
A.
Lechang
Lechang is a county-level city administered by Shaoguan in northern Guangdong Province, China, known for its mountainous terrain and role as a regional transport and commercial hub.
-
B.
Wenchi
Wenchi is a town in the Bono Region of Ghana known as an important agricultural and historical center.
-
C.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
D.
Kangchungtse
Kangchungtse is a high Himalayan subpeak of Mount Makalu located on the Nepal–Tibet border.
-
E.
Qichao
Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb74700819090d191b3a7a17034 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7be4c7c81908ce5d01eb2926aea |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8bb77bc81909c5422f9d73c1e70 |
completed | May 19, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba94752c48190a8892cac5ef862b2 |
completed | May 19, 2026, 12:05 a.m. |
Created at: April 17, 2026, 3:36 p.m.