Triple
T8559319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legislative process in India |
E202650
|
entity |
| Predicate | originOfMoneyBill |
P68035
|
FINISHED |
| Object | Lok Sabha only |
—
|
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: Lok Sabha only | Statement: [Legislative process in India, originOfMoneyBill, Lok Sabha only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originOfMoneyBill Context triple: [Legislative process in India, originOfMoneyBill, Lok Sabha only]
-
A.
originOfMoneyBills
chosen
Indicates that one entity is the source or provenance from which the specified money bills originate.
-
B.
originatedInDenomination
Indicates that an entity began or was founded within a particular religious denomination.
-
C.
denominationFounded
Indicates that one entity established or created a particular religious denomination.
-
D.
firstAppearanceOnUSPaperCurrency
Indicates the point in time when an entity was depicted for the first time on any form of United States paper currency.
-
E.
firstAppearanceOnUSPaperCurrencyType
Indicates the event or context in which an entity was first depicted on a specific type or denomination of United States paper currency.
- 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_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. |
Created at: March 30, 2026, 6:20 p.m.