Triple
T1457035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telangana (parts) |
E31421
|
entity |
| Predicate | economyHistorical |
P10778
|
FINISHED |
| Object | primarily agrarian under Madras Presidency |
—
|
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: primarily agrarian under Madras Presidency | Statement: [Telangana (parts), economyHistorical, primarily agrarian under Madras Presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economyHistorical Context triple: [Telangana (parts), economyHistorical, primarily agrarian under Madras Presidency]
-
A.
historicalEconomicBase
chosen
Indicates the primary type of economic activity or production that historically underpinned or sustained an entity’s economy.
-
B.
historicalExport
Indicates that an entity was exported from one place to another during a past or historically significant period.
-
C.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
-
D.
keyHistoricalProduct
Indicates that the product played a significant or defining role in the historical development, identity, or evolution of the associated entity.
-
E.
historicalPeg
Indicates a relationship where one entity’s value, status, or definition was formerly fixed or tied to another entity in the past.
- 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.