Triple
T22239437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DB1 |
E549679
|
entity |
| Predicate | hasIssuerBusinessArea |
P66997
|
FINISHED |
| Object | trading platforms |
—
|
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: trading platforms | Statement: [DB1, hasIssuerBusinessArea, trading platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIssuerBusinessArea Context triple: [DB1, hasIssuerBusinessArea, trading platforms]
-
A.
hasIssuerPrimaryBusiness
Indicates that an entity’s main or primary line of business is identified or characterized by the associated business activity or classification.
-
B.
hasKeyBusinessArea
chosen
Indicates that an entity is associated with or operates within a particular primary business area or domain.
-
C.
isPartOfBusinessArea
Indicates that one entity belongs to, is included within, or falls under the scope of a particular business area.
-
D.
hasIssuerCode
Indicates that an entity is associated with a specific issuer’s identifying code.
-
E.
issuerBusinessType
Indicates the category or nature of business activity that the issuing entity is engaged in.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132133b908190b0fb32a5ee68e1e6 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.