Triple
T1410119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All India Radio |
E31783
|
entity |
| Predicate | coverageClaim |
P6273
|
FINISHED |
| Object | covers more than 90% of India’s population |
—
|
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: covers more than 90% of India’s population | Statement: [All India Radio, coverageClaim, covers more than 90% of India’s population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverageClaim Context triple: [All India Radio, coverageClaim, covers more than 90% of India’s population]
-
A.
primaryCoverage
Indicates that one entity serves as the main or principal source of coverage (such as insurance or protection) for another entity.
-
B.
medicalCoverageAfter
Indicates that one entity’s medical insurance coverage begins or applies after the time, event, or coverage period associated with another entity.
-
C.
CanadaClaimsAs
Indicates that Canada asserts ownership, sovereignty, or jurisdiction over the referenced entity or territory.
-
D.
hasCoverage
Indicates that one entity provides insurance or protection coverage for another entity or subject.
-
E.
typeOfClaim
chosen
Indicates the specific category or nature of a claim being made in relation to an entity or statement.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e0bfd08190a50820bc7585c28f |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf048b648190ab77d9b45cb4855f |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.