Triple
T14787217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 太庙 |
E347557
|
entity |
| Predicate | 城市地标属性 |
P92038
|
FINISHED |
| Object | 北京重要历史文化景观 |
—
|
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: 北京重要历史文化景观 | Statement: [太庙, 城市地标属性, 北京重要历史文化景观]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 城市地标属性 Context triple: [太庙, 城市地标属性, 北京重要历史文化景观]
-
A.
相关城市地标
chosen
Indicates a relationship where a city landmark is associated with, connected to, or relevant to a given entity or context.
-
B.
都市的性格
Indicates the characteristic qualities or distinctive personality that define a city’s overall atmosphere or identity.
-
C.
emblematicBuildingLocation
Indicates that a building serves as a symbolic or representative landmark for a particular location or area.
-
D.
所在都市
Indicates the city in which an entity is located or based.
-
E.
partOfSkylineOf
Indicates that one entity is a visible component or feature contributing to the overall skyline profile of another entity, typically a city or urban area.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.