Triple
T7887192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telangana–Karnataka border |
E183131
|
entity |
| Predicate | cameIntoExistenceWith |
P3365
|
FINISHED |
| Object | formation of Telangana state in 2014 |
—
|
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: formation of Telangana state in 2014 | Statement: [Telangana–Karnataka border, cameIntoExistenceWith, formation of Telangana state in 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameIntoExistenceWith Context triple: [Telangana–Karnataka border, cameIntoExistenceWith, formation of Telangana state in 2014]
-
A.
wasBornInto
Indicates that an entity entered existence as a member of a particular family, social group, or circumstance at birth.
-
B.
emergedFrom
Indicates that one entity originated, arose, or came forth from another entity or source.
-
C.
creatorOfInhabitants
Indicates that an entity is the creator or originator of the beings or inhabitants of another entity (such as a place, world, or domain).
-
D.
emergedWith
chosen
Indicates that one entity came forth, appeared, or became visible at the same time and in association with another entity.
-
E.
genesis
Indicates the origin, creation, or initial emergence of one entity from another or from a particular source or cause.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39d97460819089e37169813af5c2 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:59 p.m.