Triple
T24118300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventy-third Amendment to the Constitution of India |
E597580
|
entity |
| Predicate | relatedToPart |
P155120
|
FINISHED |
| Object | Part IX of the Constitution of India |
—
|
NE NERFINISHED |
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: Part IX of the Constitution of India | Statement: [Seventy-third Amendment to the Constitution of India, relatedToPart, Part IX of the Constitution of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToPart Context triple: [Seventy-third Amendment to the Constitution of India, relatedToPart, Part IX of the Constitution of India]
-
A.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
relatedToProduct
Indicates a general association or connection between an entity and a specific product, without specifying the exact nature of that relationship.
-
C.
relatedToSpecification
Indicates that something has a connection or relevance to a particular specification, standard, or set of defined requirements.
-
D.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- 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_69e288c74200819098ab875b592cb39f |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dee091c48190a55d36f28c332749 |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 11:05 p.m.