Triple
T8560172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overseas Citizen of India |
E202670
|
entity |
| Predicate | eligiblePersons |
P83633
|
FINISHED |
| Object | foreign nationals of Indian origin |
—
|
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: foreign nationals of Indian origin | Statement: [Overseas Citizen of India, eligiblePersons, foreign nationals of Indian origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligiblePersons Context triple: [Overseas Citizen of India, eligiblePersons, foreign nationals of Indian origin]
-
A.
eligibleFrom
Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
-
B.
eligibleAppointees
Indicates that certain individuals or entities meet the required criteria to be considered for a particular appointment or position.
-
C.
eligibleMembers
Indicates that certain entities meet the required criteria or conditions to be considered eligible members of a specified group or category.
-
D.
eligibleOn
Indicates the date or condition from which something qualifies to begin or be considered valid or applicable.
-
E.
eligibleBeneficiaries
Indicates that certain parties meet the required conditions to receive benefits or entitlements under a given rule or program.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe949974c8190a75d9c767ca5fa5a |
completed | March 31, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30e37ac8190b685df36274602b5 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:20 p.m.