Triple
T27684963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | people's courts of the People's Republic of China |
E698001
|
entity |
| Predicate | thirdLevel |
P18792
|
FINISHED |
| Object | intermediate people's courts |
—
|
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: intermediate people's courts | Statement: [people's courts of the People's Republic of China, thirdLevel, intermediate people's courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdLevel Context triple: [people's courts of the People's Republic of China, thirdLevel, intermediate people's courts]
-
A.
thirdTier
chosen
Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
-
B.
thirdLevelRepresents
Indicates that something serves as a representation or abstraction of another thing at a third level in a hierarchical or multi-level representational structure.
-
C.
thirdRankSee
Indicates that an entity occupying a third rank or position observes, notices, or visually perceives another entity.
-
D.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
E.
thirdElement
Indicates that one entity is the third element in an ordered sequence or tuple associated with another entity.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 27, 2026, 2:49 p.m.