Triple
T16919107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 排云殿 |
E410395
|
entity |
| Predicate | 所属城市级别 |
P39139
|
FINISHED |
| Object | 中国首都北京 |
—
|
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: 中国首都北京 | Statement: [排云殿, 所属城市级别, 中国首都北京]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属城市级别 Context triple: [排云殿, 所属城市级别, 中国首都北京]
-
A.
所在都市
chosen
Indicates the city in which an entity is located or based.
-
B.
cityLevel
Indicates the administrative or hierarchical rank of a city within a broader regional or national structure.
-
C.
cityTierContext
Indicates the classification of a city into a specific tier or level within a contextual hierarchy (such as economic, demographic, or strategic importance).
-
D.
下辖城市
Indicates that one administrative region has subordinate cities under its jurisdiction.
-
E.
hasCityRank
Indicates that a city holds a particular rank or position within a defined ordering or hierarchy (such as size, importance, or administrative level).
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdec3d0c8190994a0fca335c65d6 |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.