Triple
T24269771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJU |
E605244
|
entity |
| Predicate | hasDataVendors |
P9837
|
FINISHED |
| Object | Bloomberg |
—
|
NE NERFINISHED |
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: Bloomberg | Statement: [DJU, hasDataVendors, Bloomberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDataVendors Context triple: [DJU, hasDataVendors, Bloomberg]
-
A.
hasDataVendorCode
Indicates that an entity is associated with a specific vendor-assigned code used to identify its data source or provider.
-
B.
dataVendor
chosen
Indicates a relationship where one entity serves as a provider or supplier of data to another entity.
-
C.
dataVendorName
Indicates the name or identifier of the vendor that supplies or provides the data.
-
D.
eligibleVendors
Indicates that certain vendors meet the required criteria or conditions to be considered eligible for a specified purpose or process.
-
E.
hasApproximateVendorCount
Indicates that an entity is associated with an estimated or non-exact number of vendors.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.