Triple
T5459737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanshan |
E122566
|
entity |
| Predicate | mentionedIn |
P831
|
FINISHED |
| Object |
Hanshu
Hanshu is an early Chinese historical text, also known as the Book of Han, that records the history of the Western Han dynasty.
|
E520843
|
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: Hanshu | Statement: [Shanshan, mentionedIn, Hanshu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanshu Context triple: [Shanshan, mentionedIn, Hanshu]
-
A.
Shichahai
Shichahai is a historic scenic area in central Beijing known for its interconnected lakes, traditional hutong neighborhoods, and vibrant cultural and leisure activities.
-
B.
Shōryaku
Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
-
C.
Shumshu
Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
-
D.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
E.
Hobokan
Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
- 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: Hanshu Triple: [Shanshan, mentionedIn, Hanshu]
Generated description
Hanshu is an early Chinese historical text, also known as the Book of Han, that records the history of the Western Han dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hanshu Target entity description: Hanshu is an early Chinese historical text, also known as the Book of Han, that records the history of the Western Han dynasty.
-
A.
Shichahai
Shichahai is a historic scenic area in central Beijing known for its interconnected lakes, traditional hutong neighborhoods, and vibrant cultural and leisure activities.
-
B.
Shōryaku
Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
-
C.
Shumshu
Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
-
D.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
E.
Hobokan
Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91f353c481909ae1a73ae419fb9a |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4149c6c081909f57e214dad54777 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf4207f4e4819096709c49fe001005 |
completed | March 22, 2026, 1:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf42d7b4b88190954084985134a8c2 |
completed | March 22, 2026, 1:16 a.m. |
Created at: March 20, 2026, 2:08 p.m.