Triple
T28284112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xin Wudai Shi |
E713231
|
entity |
| Predicate | compilerBirthplaceOfOuyangXiu |
P127312
|
FINISHED |
| Object |
Jizhou, Jiangxi
Jizhou, Jiangxi is a historical region in China best known as the birthplace of the eminent Song dynasty scholar, statesman, and writer Ouyang Xiu.
|
E273087
|
NE FINISHED |
How this triple was built (3 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: Jizhou, Jiangxi | Statement: [Xin Wudai Shi, compilerBirthplaceOfOuyangXiu, Jizhou, Jiangxi]
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: Jizhou, Jiangxi Triple: [Xin Wudai Shi, compilerBirthplaceOfOuyangXiu, Jizhou, Jiangxi]
Generated description
Jizhou, Jiangxi is a historical region in China best known as the birthplace of the eminent Song dynasty scholar, statesman, and writer Ouyang Xiu.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compilerBirthplaceOfOuyangXiu Context triple: [Xin Wudai Shi, compilerBirthplaceOfOuyangXiu, Jizhou, Jiangxi]
-
A.
creatorPlaceOfBirth
Indicates that the place specified is the location where the creator of an entity was born.
-
B.
placeOfBirth
Indicates the location where a person or other entity was born.
-
C.
birthPlaceAccordingTo
Indicates that an entity’s place of birth is given as a specific location according to a particular source or authority.
-
D.
creatorLivedIn
Indicates that the person who created a work resided in a particular place for some period of time.
-
E.
cityOfBirthOfNamesake
chosen
Indicates that one entity is the city where the namesake (the person or entity after whom something is named) of another entity was born.
- F. None of above.
Provenance (6 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a160728a9108190b774efc094320cdb |
completed | May 26, 2026, 8:48 p.m. |
| NEDg | Description generation | batch_6a1613ef6698819089eb6e89c8fff844 |
completed | May 26, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1614512f9881908fa9fe919e32a1e4 |
completed | May 26, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 11:25 p.m.