Triple
T13914651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 午门 |
E334588
|
entity |
| Predicate | 建筑结构 |
P50946
|
FINISHED |
| Object | 城楼与城台结合的门楼建筑 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 城楼与城台结合的门楼建筑 | Statement: [午门, 建筑结构, 城楼与城台结合的门楼建筑]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 建筑结构 Context triple: [午门, 建筑结构, 城楼与城台结合的门楼建筑]
-
A.
buildingStructure
chosen
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
-
B.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
C.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
buildingSystem
Indicates that one entity functions as a system, subsystem, or organized set of components that serves or supports the operation of a building.
- F. None of above.
Provenance (3 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27245c648190b2946845ce0fdbf8 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.