Triple
T6327516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BeiDou |
E141895
|
entity |
| Predicate | regionalServiceOperational |
P70863
|
FINISHED |
| Object | around 2012 |
—
|
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: around 2012 | Statement: [BeiDou, regionalServiceOperational, around 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalServiceOperational Context triple: [BeiDou, regionalServiceOperational, around 2012]
-
A.
operatesService
Indicates that an agent runs, manages, or provides a particular service.
-
B.
operatesToRegion
Indicates that an agent conducts operations or provides services directed toward or within a specified region.
-
C.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
D.
isRegionalServiceCentre
Indicates that an entity functions as a regional service center responsible for providing services or support to a defined geographic area.
-
E.
serviceRegion
Indicates the geographic area or jurisdiction within which a service is provided or applicable.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e9532081908277f10ec380a486 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:29 p.m.