Triple
T15349205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CITY |
E367005
|
entity |
| Predicate | usedBySubsidiaryType |
P54892
|
FINISHED |
| Object | regional subsidiary |
—
|
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: regional subsidiary | Statement: [CITY, usedBySubsidiaryType, regional subsidiary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBySubsidiaryType Context triple: [CITY, usedBySubsidiaryType, regional subsidiary]
-
A.
usedBySubsidiaryOf
chosen
Indicates that something is used by an entity that is a subsidiary of another organization.
-
B.
subsidiaryOrAsset
Indicates that one entity is owned, controlled, or held as a subsidiary company or asset by another entity.
-
C.
hasSubsidiaryLabel
Indicates that one entity is identified as a subsidiary or subordinate organization of another entity.
-
D.
usedByParentCompany
Indicates that something (such as a resource, product, or service) is utilized or employed by a parent company in relation to its operations or activities.
-
E.
coreSubsidiaryOf
Indicates that one entity is a primary or central subsidiary that is owned or controlled by another 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:17 a.m.