Triple
T23196954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non-Resident Indians |
E579894
|
entity |
| Predicate | taxResidenceDefinedBy |
P151316
|
FINISHED |
| Object | numberOfDaysInIndiaPerFinancialYear |
—
|
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: numberOfDaysInIndiaPerFinancialYear | Statement: [Non-Resident Indians, taxResidenceDefinedBy, numberOfDaysInIndiaPerFinancialYear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxResidenceDefinedBy Context triple: [Non-Resident Indians, taxResidenceDefinedBy, numberOfDaysInIndiaPerFinancialYear]
-
A.
countryOfTaxResidence
Indicates the country in which an entity is legally considered a tax resident and primarily obligated to pay taxes.
-
B.
hasBranchResidenceIn
Indicates that an organization maintains a branch or subsidiary located in a specified place or jurisdiction.
-
C.
residencyStatus
Indicates the legal or official residential classification of an entity within a particular jurisdiction or context.
-
D.
taxingJurisdiction
Indicates the authority or region that has the legal power to impose and collect taxes on a given entity or transaction.
-
E.
hasTraditionalResidenceCountry
Indicates that an entity’s customary or long-term country of residence is the specified country.
- 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_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. |
| PDg | Predicate description generation | batch_69ef9b75e2708190ba48875e36f983bc |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:06 p.m.