Triple
T13675406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhattisgarhi cinema |
E327861
|
entity |
| Predicate | marketScale |
P90841
|
FINISHED |
| Object | small regional market |
—
|
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: small regional market | Statement: [Chhattisgarhi cinema, marketScale, small regional market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketScale Context triple: [Chhattisgarhi cinema, marketScale, small regional market]
-
A.
marketSize
chosen
Indicates the total volume or value of demand for a product, service, or market segment within a defined scope (such as a time period or geographic region).
-
B.
businessScale
Indicates the relative size or level of operations of a business, such as its scope, capacity, or market reach.
-
C.
marketContext
Indicates the broader economic, competitive, and situational conditions under which a product, service, or transaction is positioned or evaluated.
-
D.
marketsIn
Indicates that one entity promotes, sells, or offers another entity’s products or services within a particular market or geographic area.
-
E.
marketTrait
Indicates that an entity possesses a particular characteristic, behavior, or attribute relevant to how it functions or is perceived in a market context.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65c04988190b675e6fb7241e53c |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.