Triple
T34084970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nifty Fifty |
E874153
|
entity |
| Predicate | isWidelyFollowedBy |
P178207
|
FINISHED |
| Object | investors in India |
—
|
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: investors in India | Statement: [Nifty Fifty, isWidelyFollowedBy, investors in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWidelyFollowedBy Context triple: [Nifty Fifty, isWidelyFollowedBy, investors in India]
-
A.
isWidelyKnown
Indicates that something is generally recognized or familiar to a large number of people.
-
B.
isWidelyCoveredBy
Indicates that something receives extensive attention or reporting from many media outlets or information sources.
-
C.
isWidelyReadBy
Indicates that a work (such as a book, article, or text) is read by a large and diverse number of people.
-
D.
isWidelyUsed
Indicates that something is commonly or extensively utilized across many contexts, users, or situations.
-
E.
isWidelyCoveredIn
Indicates that something receives extensive attention or reporting across many media outlets, sources, or platforms.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:52 a.m.