Triple
T38325098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 北海公园 |
E1036760
|
entity |
| Predicate | 宗教建筑 |
P92816
|
FINISHED |
| Object | 白塔 |
—
|
NE NERFINISHED |
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: 白塔 | Statement: [北海公园, 宗教建筑, 白塔]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 宗教建筑 Context triple: [北海公园, 宗教建筑, 白塔]
-
A.
religiousBuildingInstanceOf
chosen
Indicates that a specific religious building is an instance of a particular class or type of religious building.
-
B.
religiousBuildingCount
Indicates the number of religious buildings associated with or present in a given context or entity.
-
C.
religiousBuildingDedicatedTo
Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
-
D.
religiousBuildingSpecialty
Indicates that a religious building is specifically dedicated to or specializes in a particular religious function, practice, or tradition.
-
E.
associatedReligionBuilding
Indicates that there is a relationship between a religion and a specific building that is connected to, used by, or significant for that religion.
- 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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.