Triple
T30025679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tata Sons |
E762873
|
entity |
| Predicate | notableSectorExposure |
—
|
GENERATED |
| Object | information technology |
—
|
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: notableSectorExposure Context triple: [Tata Sons, notableSectorExposure, information technology]
-
A.
notableSector
Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
-
B.
sectorInfluence
Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
-
C.
sectoralCoverage
Indicates the specific sectors, industries, or domains to which something (such as a policy, agreement, or dataset) applies or extends.
-
D.
notableAssetClass
Indicates that an entity is significantly associated with, or recognized for, a particular class of assets.
-
E.
industryExposure
chosen
Indicates the extent to which an entity is involved in, affected by, or financially linked to a particular industry or set of industries.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:48 p.m.