Triple
T236941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Provinces |
E4842
|
entity |
| Predicate | afterRepublicBecame |
P8674
|
FINISHED |
| Object | state of Uttar Pradesh in the Republic of India |
—
|
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: state of Uttar Pradesh in the Republic of India | Statement: [United Provinces, afterRepublicBecame, state of Uttar Pradesh in the Republic of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterRepublicBecame Context triple: [United Provinces, afterRepublicBecame, state of Uttar Pradesh in the Republic of India]
-
A.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
B.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
C.
cameToPowerAfter
Indicates that one entity assumed authority or control following the rule or tenure of another entity.
-
D.
servedAsUSCapitalUntil
Indicates that a place functioned as the capital of the United States up to a specified end date.
-
E.
tookPlaceAfter
Indicates that one event or occurrence happened later in time than another event or occurrence.
- F. None of above. chosen
Provenance (4 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25ccc5d548190b505bf1d99db41bd |
completed | Feb. 28, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69a25b5dc640819092669575731c393f |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2ca46c81908c61696f31e59a98 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.