Triple
T32476592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese space program |
E829990
|
entity |
| Predicate | hasCommercialSector |
—
|
GENERATED |
| Object | Chinese private space companies |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommercialSector Context triple: [Chinese space program, hasCommercialSector, Chinese private space companies]
-
A.
hasIndustrialSector
Indicates that an entity is associated with, operates in, or belongs to a particular industrial sector or branch of economic activity.
-
B.
hasBusinessSection
Indicates that an entity (such as a publication or website) includes a dedicated section focused on business-related content or topics.
-
C.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
D.
hasCommercialField
chosen
Indicates that one entity possesses or is associated with a commercial-related field, area, or domain in relation to another entity.
-
E.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
- F. None of above.
Provenance (1 batch)
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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:58 a.m.