Triple
T4672257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RJR Nabisco |
E103590
|
entity |
| Predicate | divestedBusiness |
P10639
|
FINISHED |
| Object | food business |
—
|
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: food business | Statement: [RJR Nabisco, divestedBusiness, food business]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divestedBusiness Context triple: [RJR Nabisco, divestedBusiness, food business]
-
A.
divested
chosen
Indicates that one entity has sold off, relinquished, or otherwise disposed of ownership, control, or interest in another entity or asset.
-
B.
delisted
Indicates that an entity has been removed from an official list, registry, or exchange where it was previously included.
-
C.
diversifiedIn
Indicates that an entity has expanded its involvement, investments, or activities across multiple different areas, sectors, or asset types.
-
D.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
-
E.
isNonDiversified
Indicates that an entity’s resources, investments, or activities are concentrated in a limited set of areas rather than being spread across a diverse range.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.