Triple
T35753567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYSE:TTM |
E1033379
|
entity |
| Predicate | hasUnderlyingSubsidiaryBrand |
P144439
|
FINISHED |
| Object | Jaguar Land Rover |
—
|
NE NERFINISHED |
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: Jaguar Land Rover | Statement: [NYSE:TTM, hasUnderlyingSubsidiaryBrand, Jaguar Land Rover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingSubsidiaryBrand Context triple: [NYSE:TTM, hasUnderlyingSubsidiaryBrand, Jaguar Land Rover]
-
A.
hasUnderlyingCompanyBrand
Indicates that one entity is associated with or operates under the corporate brand of another company as its underlying brand.
-
B.
hasNotableSubBrand
chosen
Indicates that an entity includes or owns a distinct, well-known sub-brand associated with it.
-
C.
hasSubsidiaryLabel
Indicates that one entity is identified as a subsidiary or subordinate organization of another entity.
-
D.
hasSubsidiariesIn
Indicates that an entity has subsidiary companies or organizations operating or registered in a specified location or jurisdiction.
-
E.
usedBySubsidiaryOf
Indicates that something is used by an entity that is a subsidiary of another organization.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 3, 2026, 4:06 p.m.