Triple
T23955931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhetri |
E603786
|
entity |
| Predicate | countryOfSignificantPopulation |
P19264
|
FINISHED |
| Object | India |
—
|
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: India | Statement: [Chhetri, countryOfSignificantPopulation, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSignificantPopulation Context triple: [Chhetri, countryOfSignificantPopulation, India]
-
A.
countryWithSignificantPopulation
chosen
Indicates that a country has a notably large or impactful number of people, relative to some defined threshold or comparison set.
-
B.
hasPopulationCountry
Indicates that a specified population size is associated with, or belongs to, a particular country.
-
C.
countryWithKeyPopulation
Indicates that a country has a specific, particularly important or target population group that is being identified or highlighted.
-
D.
hasPopulationOver
Indicates that one entity has a population greater than a specified number or than another entity.
-
E.
keyPopulation
Indicates that the referenced entity belongs to a specific key population group that is of particular importance or priority in a given context (e.g., public health, policy, or services).
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d6d7688190bedf55dda8e72b2b |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.