Triple
T18596275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bachpan Bachao Andolan |
E454500
|
entity |
| Predicate | foundedByNobelLaureate |
P132715
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bachpan Bachao Andolan, foundedByNobelLaureate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedByNobelLaureate Context triple: [Bachpan Bachao Andolan, foundedByNobelLaureate, true]
-
A.
NobelPrizeCoLaureate
Indicates that two or more individuals share the same Nobel Prize as co-recipients for a particular award and year.
-
B.
foundedByNotableWork
Indicates that an entity (such as an organization, movement, or initiative) was established as a result of, or is directly based on, a particular notable work (such as a book, film, or other significant creation).
-
C.
isBirthplaceOfNobelLaureate
Indicates that a location is the place where a Nobel Prize laureate was born.
-
D.
authorNobelLaureate
Indicates that the author is a recipient of a Nobel Prize.
-
E.
spouseOfNobelLaureateIn
Indicates that one entity is the spouse of a Nobel Prize laureate associated with a specified field, category, or year.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474ce0c08190b440cbe86b6ef7b9 |
completed | April 19, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69e478cf5e888190a0b1074b0c6525df |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:44 a.m.