Triple
T20420619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henggang Subdistrict |
E500836
|
entity |
| Predicate | belongsToCityTier |
P87044
|
FINISHED |
| Object | first-tier city (Shenzhen) |
—
|
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: first-tier city (Shenzhen) | Statement: [Henggang Subdistrict, belongsToCityTier, first-tier city (Shenzhen)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCityTier Context triple: [Henggang Subdistrict, belongsToCityTier, first-tier city (Shenzhen)]
-
A.
cityTierContext
chosen
Indicates the classification of a city into a specific tier or level within a contextual hierarchy (such as economic, demographic, or strategic importance).
-
B.
belongsToCityType
Indicates that one entity is classified under, or associated with, a particular type or category of city.
-
C.
cityLevel
Indicates the administrative or hierarchical rank of a city within a broader regional or national structure.
-
D.
belongsToCityServedBy
Indicates that something is associated with or part of the city that is served by a particular service, facility, or infrastructure.
-
E.
hasLocalGovernmentTier
Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba39f7081909358f1103a0f241c |
completed | April 20, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:30 a.m.