Triple
T25684945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 Census of India |
E644040
|
entity |
| Predicate | leastPopulousState |
P48379
|
FINISHED |
| Object | Sikkim |
—
|
NE NERFINISHED |
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: Sikkim | Statement: [2011 Census of India, leastPopulousState, Sikkim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leastPopulousState Context triple: [2011 Census of India, leastPopulousState, Sikkim]
-
A.
isLeastPopulousStateOf
chosen
Indicates that a state has the smallest population among all states within a specified country or region.
-
B.
northernmostState
Indicates that one state is located farther north than any other state within a given set or region.
-
C.
southernmostState
Indicates that one state is the southernmost among a specified set or region, lying farther south in latitude than any other state in that group.
-
D.
largestStateByArea
Indicates that a state is the one with the greatest land area within a specified set or region.
-
E.
stateOfTerritory
Indicates the political or administrative state that has authority over a given territory.
- 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_69e77e8046888190b07ffa58c7e2c37a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb7c000c819094efdcbb23ebddae |
completed | May 2, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 8:06 p.m.