Triple
T11773693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where in the World Is Carmen Sandiego? |
E279962
|
entity |
| Predicate | hasFranchiseElement |
P53123
|
FINISHED |
| Object | video games |
—
|
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: video games | Statement: [Where in the World Is Carmen Sandiego?, hasFranchiseElement, video games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFranchiseElement Context triple: [Where in the World Is Carmen Sandiego?, hasFranchiseElement, video games]
-
A.
hasFranchiseSlot
Indicates that an entity holds or is assigned a specific franchise position, license, or allocation within a larger franchising structure.
-
B.
hasFranchiseModel
Indicates that one entity operates under, offers, or is associated with a business franchise system or structure defined by another entity.
-
C.
hasKeyFranchise
Indicates that one entity possesses or controls the primary franchise rights or main franchise relationship associated with another entity.
-
D.
franchiseElement
chosen
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
E.
hasFranchiseRightsGrantedBy
Indicates that one party has been granted the legal rights to operate or exploit a franchise by another granting authority.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:41 p.m.