Triple
T14605910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Territorial constituencies in Karnataka |
E342828
|
entity |
| Predicate | basisOfDelimitation |
P17289
|
FINISHED |
| Object | 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: population | Statement: [Territorial constituencies in Karnataka, basisOfDelimitation, population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basisOfDelimitation Context triple: [Territorial constituencies in Karnataka, basisOfDelimitation, population]
-
A.
delimitationMethod
Indicates the method or process used to establish or define the boundaries or limits of something.
-
B.
demarcationType
Indicates the specific way in which a boundary or separation between entities is defined, marked, or categorized.
-
C.
basisDefinition
Indicates that one entity serves as the foundational explanation, principle, or justification upon which another entity is defined or established.
-
D.
segregationBasis
Indicates the criterion or characteristic used as the basis for separating or distinguishing one group or set from another.
-
E.
divisionDefinedBy
chosen
Indicates that a division or partition is established or characterized according to a specified rule, criterion, or defining entity.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb44bf67c8190b4c48a7715f9443e |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.