Triple
T19714080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzhou Industrial Park |
E473427
|
entity |
| Predicate | cityDistrictStatus |
P137047
|
FINISHED |
| Object | county-level administrative district of Suzhou |
—
|
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: county-level administrative district of Suzhou | Statement: [Suzhou Industrial Park, cityDistrictStatus, county-level administrative district of Suzhou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityDistrictStatus Context triple: [Suzhou Industrial Park, cityDistrictStatus, county-level administrative district of Suzhou]
-
A.
cityCenterStatus
Indicates whether a location holds the status of being the central or main area of a city.
-
B.
cityStatusContext
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
C.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
D.
cityDistrictLevel
Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
-
E.
cityDistrictFunction
Indicates that a specific function, role, or land-use purpose is assigned to or characterizes a particular district within a city.
- F. None of above. chosen
Provenance (4 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440b47508190a8a33325b00841dc |
completed | April 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.