Triple
T10605776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nifty 50 |
E275871
|
entity |
| Predicate | derivativeProducts |
P80755
|
FINISHED |
| Object | index futures |
—
|
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: index futures | Statement: [Nifty 50, derivativeProducts, index futures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: derivativeProducts Context triple: [Nifty 50, derivativeProducts, index futures]
-
A.
derivativesType
chosen
Indicates the specific kind or category of derivative relationship that exists between two related entities.
-
B.
hasDerivatives
Indicates that one entity is derived, obtained, or developed from another entity.
-
C.
secondaryProducts
Indicates that certain entities arise as secondary or byproduct outputs from a primary process, activity, or production.
-
D.
byProduct
Indicates that one entity is produced incidentally or as a secondary result of a process, activity, or creation involving another entity.
-
E.
laterProductType
Indicates that one product type occurs or is introduced after another product type in time or sequence.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4a5df88190b993196ca7849a88 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:32 p.m.