Triple
T23035527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhaka Dynamites |
E573582
|
entity |
| Predicate | foundedAsFranchiseIn |
P46462
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Dhaka Dynamites, foundedAsFranchiseIn, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsFranchiseIn Context triple: [Dhaka Dynamites, foundedAsFranchiseIn, 2012]
-
A.
foundedAsFranchiseYear
chosen
Indicates the year in which an entity was established specifically as a franchise.
-
B.
foundedFranchise
Indicates that an entity established or created a particular franchise.
-
C.
appliedToFranchiseFoundedIn
Indicates that something (such as a rule, policy, or action) is applied specifically to a franchise that was founded in a particular time or place.
-
D.
acquiredFranchiseYear
Indicates the year in which an entity obtained ownership or control of a franchise.
-
E.
establishedAsCurrentFranchise
Indicates that an entity has been formally designated or recognized as the current active franchise for another 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850df7fc81909ee522d99d96af0d |
completed | April 29, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.