Triple
T1457043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telangana (parts) |
E31421
|
entity |
| Predicate | demographyHistorical |
P25591
|
FINISHED |
| Object | predominantly rural population during British period |
—
|
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: predominantly rural population during British period | Statement: [Telangana (parts), demographyHistorical, predominantly rural population during British period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographyHistorical Context triple: [Telangana (parts), demographyHistorical, predominantly rural population during British period]
-
A.
demographicHistory
chosen
Indicates the historical changes and patterns in the composition, size, or structure of a population over time.
-
B.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
C.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
D.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
E.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c598b30c8190b87207adf608b89a |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.