Triple
T32232448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rama |
E823376
|
entity |
| Predicate | hasEconomicPartner |
P69616
|
FINISHED |
| Object | Ontario Lottery and Gaming Corporation |
—
|
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: Ontario Lottery and Gaming Corporation | Statement: [Rama, hasEconomicPartner, Ontario Lottery and Gaming Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicPartner Context triple: [Rama, hasEconomicPartner, Ontario Lottery and Gaming Corporation]
-
A.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
B.
hasEconomicActor
Indicates that an entity participates in or influences an economic activity, process, or system in the role of an economic actor.
-
C.
hasExPartner
Indicates that one entity was formerly in a romantic or intimate partnership with another entity, but that relationship has ended.
-
D.
hasExternalPartner
chosen
Indicates that an entity is engaged in a relationship, collaboration, or interaction with a partner organization or individual outside its own structure or system.
-
E.
hasPartnerOrganization
Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
- 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 12:39 a.m.