Triple
T11942225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B3 |
E284203
|
entity |
| Predicate | governsMarketSegment |
P102386
|
FINISHED |
| Object | cash equities market in Brazil |
—
|
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: cash equities market in Brazil | Statement: [B3, governsMarketSegment, cash equities market in Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governsMarketSegment Context triple: [B3, governsMarketSegment, cash equities market in Brazil]
-
A.
governsMarket
Indicates that one entity exercises regulatory or controlling authority over the functioning, rules, or behavior of a particular market.
-
B.
marketSegmentCoverage
Indicates the extent to which a product, service, or campaign reaches or serves the intended market segment(s).
-
C.
coreMarket
Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
-
D.
coversMarket
Indicates that one entity operates in, serves, or has business presence within a particular market or geographic/sectoral area.
-
E.
operatesInSegment
Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
- F. None of above. chosen
Provenance (4 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.