Triple
T7016616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | States Reorganisation era of India |
E162713
|
entity |
| Predicate | majorOutcome |
P59870
|
FINISHED |
| Object | creation of Andhra Pradesh in 1956 |
—
|
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: creation of Andhra Pradesh in 1956 | Statement: [States Reorganisation era of India, majorOutcome, creation of Andhra Pradesh in 1956]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorOutcome Context triple: [States Reorganisation era of India, majorOutcome, creation of Andhra Pradesh in 1956]
-
A.
major
Indicates that one entity is the primary field of academic specialization or main area of study for another entity.
-
B.
majorImpact
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
-
C.
majorStatus
Indicates that an entity holds primary or most significant status relative to others in a given context.
-
D.
outcomeOf
chosen
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
E.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.