Triple
T3246982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Challengers Bengaluru |
E68087
|
entity |
| Predicate | franchiseSystem |
P31018
|
FINISHED |
| Object | city-based franchise |
—
|
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: city-based franchise | Statement: [Royal Challengers Bengaluru, franchiseSystem, city-based franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseSystem Context triple: [Royal Challengers Bengaluru, franchiseSystem, city-based franchise]
-
A.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
B.
typeOfFranchise
chosen
Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
-
C.
distributesFranchise
Indicates that one party grants or allocates franchise rights or opportunities to another party.
-
D.
franchiseName
Indicates that an entity is identified by or associated with a specific franchise’s official name.
-
E.
basisOfFranchise
Indicates that one work or property serves as the foundational source or origin for a broader franchise or series.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1c184c8190a43a3594decd0920 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.