Triple
T35725784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 延河 |
E1032607
|
entity |
| Predicate | 主要城市 |
P116685
|
FINISHED |
| Object | 延安市区 |
—
|
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: 延安市区 | Statement: [延河, 主要城市, 延安市区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要城市 Context triple: [延河, 主要城市, 延安市区]
-
A.
mainCities
chosen
Indicates that the related entities are the primary or most important cities associated with a given region, country, or area.
-
B.
所在都市
Indicates the city in which an entity is located or based.
-
C.
majorUrbanCenterIn
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
-
D.
otherMajorCity
Indicates that one city is another major city associated with or comparable in importance or status to the first city.
-
E.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.