Triple
T35294334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modi Sugar Mills |
E1019316
|
entity |
| Predicate | hasByproductUse |
P182696
|
FINISHED |
| Object | bagasse used as fuel |
—
|
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: bagasse used as fuel | Statement: [Modi Sugar Mills, hasByproductUse, bagasse used as fuel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasByproductUse Context triple: [Modi Sugar Mills, hasByproductUse, bagasse used as fuel]
-
A.
hasProductionUse
Indicates that something is utilized or applied within a production or operational environment.
-
B.
areUsedBy
Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
-
C.
usedForProduct
Indicates that one entity serves as a tool, component, or means specifically employed in the creation, operation, or delivery of another entity considered as a product.
-
D.
usesProductionResourcesOf
Indicates that one entity makes use of the production resources (such as facilities, equipment, or infrastructure) that belong to or are operated by another entity.
-
E.
usesProductFrom
Indicates that one entity makes use of or employs a product that originates from or is provided by another entity.
- F. None of above. chosen
Provenance (4 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:03 p.m.