Triple
T4909696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bao’an |
E110200
|
entity |
| Predicate | wasReorganizedInto |
P1504
|
FINISHED |
| Object | Shenzhen city-level administration |
—
|
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: Shenzhen city-level administration | Statement: [Bao’an, wasReorganizedInto, Shenzhen city-level administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasReorganizedInto Context triple: [Bao’an, wasReorganizedInto, Shenzhen city-level administration]
-
A.
reorganizedAs
chosen
Indicates that an existing entity has been restructured or reconfigured into a new organizational form or arrangement.
-
B.
isPartOfReorganization
Indicates that an entity is involved in, or belongs to, a structural or organizational reconfiguration process.
-
C.
reorganizedIn
Indicates that an entity underwent a structural or organizational change within a specified context, time, or framework.
-
D.
mergedOrReorganized
Indicates that one entity has combined with or been structurally reorganized into another entity, resulting in a changed or unified organizational form.
-
E.
furtherReorganizedOn
Indicates that an entity was reorganized again or to a greater extent on a specified later date or occasion.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e99414081908c3d3283f563bba4 |
completed | March 20, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69bd6c325e188190823836d79934e9bc |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.