Triple
T30266444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Plains urban agglomeration |
E769659
|
entity |
| Predicate | regionNameInChinese |
P4878
|
FINISHED |
| Object | 中原城市群 |
—
|
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: 中原城市群 | Statement: [Central Plains urban agglomeration, regionNameInChinese, 中原城市群]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionNameInChinese Context triple: [Central Plains urban agglomeration, regionNameInChinese, 中原城市群]
-
A.
countryNameInChinese
Indicates the Chinese-language name used to refer to a given country.
-
B.
capitalInChinese
Indicates that one entity is the name of a capital city expressed in the Chinese language for the other entity.
-
C.
nameInChinese
chosen
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
D.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
E.
ChinaPosition
Indicates the stance, policy, or viewpoint officially held or expressed by China regarding a particular issue, event, or 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: April 29, 2026, 7:43 p.m.