Triple
T3109963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanxi Province |
E64927
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
Jin
Jin is the standard abbreviation used to refer to Shanxi Province in China.
|
E327119
|
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: Jin | Statement: [Shanxi Province, abbreviation, Jin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jin Context triple: [Shanxi Province, abbreviation, Jin]
-
A.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
B.
Jang
Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
-
C.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
D.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
E.
Jeong
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
- 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: Jin Triple: [Shanxi Province, abbreviation, Jin]
Generated description
Jin is the standard abbreviation used to refer to Shanxi Province in China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jin Target entity description: Jin is the standard abbreviation used to refer to Shanxi Province in China.
-
A.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
B.
Jang
Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
-
C.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
D.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
E.
Jeong
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada2a0ab2481908db50738ec3ad0fb |
completed | March 8, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203902a6881909b20589fad629640 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b204b575c88190a5d3705c81f0dc6b |
completed | March 12, 2026, 12:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b20574fab48190bf48d62d35dd4ed5 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:04 p.m.