Triple
T18451643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibei District, Qingdao |
E450795
|
entity |
| Predicate | urbanHierarchyRole |
P8652
|
FINISHED |
| Object | core district of Qingdao |
—
|
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: core district of Qingdao | Statement: [Shibei District, Qingdao, urbanHierarchyRole, core district of Qingdao]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanHierarchyRole Context triple: [Shibei District, Qingdao, urbanHierarchyRole, core district of Qingdao]
-
A.
urbanHierarchy
Indicates a hierarchical relationship among urban areas, such as cities or towns, where one is ranked or positioned above or below another in an urban system.
-
B.
urbanRole
chosen
Indicates the function, status, or role that an entity holds within an urban or city context.
-
C.
focusCityRole
Indicates that a city serves a particular primary role or function within a broader geographic or organizational context.
-
D.
roleInAdministrativeDivision
Indicates that an entity holds or fulfills a specific role, function, or position within a particular administrative division or jurisdiction.
-
E.
endpointCityRole
Indicates the role or function that a city plays as an endpoint within a route, connection, or network.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52648476c8190a5d8c3297d836f62 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:31 a.m.