Triple
T23196962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non-Resident Indians |
E579894
|
entity |
| Predicate | canInvestIn |
P69262
|
FINISHED |
| Object | IndianStockMarketsUnderNRIRegulations |
—
|
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: IndianStockMarketsUnderNRIRegulations | Statement: [Non-Resident Indians, canInvestIn, IndianStockMarketsUnderNRIRegulations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canInvestIn Context triple: [Non-Resident Indians, canInvestIn, IndianStockMarketsUnderNRIRegulations]
-
A.
investsIn
Indicates that one entity allocates resources, typically money or capital, into another entity with the expectation of future returns or benefits.
-
B.
investmentType
Indicates the specific category or nature of an investment associated with an entity or transaction.
-
C.
canEarnOn
Indicates that an entity is able or permitted to receive or generate earnings from another entity, source, or activity.
-
D.
investmentScope
Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
-
E.
investmentOptions
chosen
Indicates that one entity offers, defines, or is associated with possible ways another entity can allocate resources or capital.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fdc0b8081909242fdc5cb1da517 |
completed | April 29, 2026, 4:58 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:06 p.m.