Triple
T28790874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lin Chuan |
E726947
|
entity |
| Predicate | cabinetHeaded |
P41215
|
FINISHED |
| Object |
Lin Chuan Cabinet
The Lin Chuan Cabinet was the executive administration of Taiwan (Republic of China) led by Premier Lin Chuan, serving under President Tsai Ing-wen after she took office in 2016.
|
E1832963
|
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: Lin Chuan Cabinet | Statement: [Lin Chuan, cabinetHeaded, Lin Chuan Cabinet]
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: Lin Chuan Cabinet Triple: [Lin Chuan, cabinetHeaded, Lin Chuan Cabinet]
Generated description
The Lin Chuan Cabinet was the executive administration of Taiwan (Republic of China) led by Premier Lin Chuan, serving under President Tsai Ing-wen after she took office in 2016.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabinetHeaded Context triple: [Lin Chuan, cabinetHeaded, Lin Chuan Cabinet]
-
A.
cabinetOf
chosen
Indicates that one entity serves as the cabinet or governing body associated with another entity, typically a state, government, or leader.
-
B.
hasCabinet
Indicates that one entity possesses, includes, or is equipped with a cabinet associated with it.
-
C.
cabinet
Indicates that one entity serves as a cabinet (a storage or enclosure unit) for another entity.
-
D.
cabinetLevel
Indicates that an official, position, or body holds a status equivalent to or recognized as part of a national cabinet-level rank or authority.
-
E.
cabinetResponsibleTo
Indicates that a cabinet is politically accountable to, and can be held responsible by, a particular authority or body.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a24a27350a08190aee1c682d3226023 |
completed | June 6, 2026, 10:42 p.m. |
| NEDg | Description generation | batch_6a24a703ae6c8190b6298c1283e7c9b7 |
completed | June 6, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a24ab4ed6088190a8de9ed2255599ea |
completed | June 6, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:23 a.m.