Triple
T15242816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classified Ventures (stake) |
E364299
|
entity |
| Predicate | counterpartyType |
P53352
|
FINISHED |
| Object | newspaper publisher consortium |
—
|
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: newspaper publisher consortium | Statement: [Classified Ventures (stake), counterpartyType, newspaper publisher consortium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterpartyType Context triple: [Classified Ventures (stake), counterpartyType, newspaper publisher consortium]
-
A.
counterpartyCountry
Indicates the country associated with the other party involved in a transaction, agreement, or relationship.
-
B.
counterpartyTitle
Indicates the formal role, position, or designation held by the counterparty in the relationship or transaction.
-
C.
namedPartyType
chosen
Indicates the specific role or category that a referenced party holds within a given context or relationship.
-
D.
intermediaryType
Indicates the specific role or category of intermediary involved in facilitating the relationship or transaction between entities.
-
E.
transactionCounterparty
Indicates that one entity is the other party involved in a financial or commercial transaction with the subject entity.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.