Triple
T21392404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wujiang District |
E527687
|
entity |
| Predicate | hasCityStatusChange |
P5556
|
FINISHED |
| Object | converted from county to 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: converted from county to district of Suzhou | Statement: [Wujiang District, hasCityStatusChange, converted from county to district of Suzhou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityStatusChange Context triple: [Wujiang District, hasCityStatusChange, converted from county to district of Suzhou]
-
A.
hasCityStatusFor
Indicates that an entity holds official city status within the jurisdiction or context of another entity.
-
B.
hasMunicipalStatusChange
chosen
Indicates that an entity undergoes a change in its official municipal status (e.g., creation, upgrade, downgrade, merger, or dissolution as a municipality).
-
C.
impliesStatusOfCity
Indicates that one entity suggests, infers, or entails a particular status or condition of a city.
-
D.
hasNewTownStatus
Indicates that an entity has been granted or holds the official status of a newly established town.
-
E.
hasCityGateStatus
Indicates the status or condition of a city gate in relation to a given 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1159a888190aabb5c2a9268bd06 |
completed | April 22, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:13 p.m.