Triple
T12451699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNA |
E297547
|
entity |
| Predicate | sectorOfCompany |
P100108
|
FINISHED |
| Object | fast-moving consumer goods |
—
|
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: fast-moving consumer goods | Statement: [UNA, sectorOfCompany, fast-moving consumer goods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorOfCompany Context triple: [UNA, sectorOfCompany, fast-moving consumer goods]
-
A.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
B.
sectorOfOperation
chosen
Indicates the industry, domain, or field within which an entity conducts its primary activities or operations.
-
C.
sectorOfParentOrganization
Indicates that the specified sector or industry classification belongs to, or characterizes, the parent organization of the given entity.
-
D.
hasOccupationSector
Indicates that an entity’s occupation belongs to or is categorized within a particular economic or professional sector.
-
E.
sectorCode
Indicates the classification code that identifies the economic or organizational sector associated with an entity or activity.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.