Triple
T18446748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 73rd Constitutional Amendment Act of India |
E450674
|
entity |
| Predicate | numberOfSubjectsInEleventhSchedule |
P101171
|
FINISHED |
| Object | 29 |
—
|
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: 29 | Statement: [73rd Constitutional Amendment Act of India, numberOfSubjectsInEleventhSchedule, 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSubjectsInEleventhSchedule Context triple: [73rd Constitutional Amendment Act of India, numberOfSubjectsInEleventhSchedule, 29]
-
A.
subjectCount
chosen
Indicates the number of subjects associated with or involved in a given entity or context.
-
B.
numberOfCourses
Indicates the quantity of courses associated with a given entity.
-
C.
ninthBookSubject
Indicates that the subject is the ninth book in an ordered sequence or collection associated with an entity.
-
D.
hasLegislativeSubject
Indicates that a legislative document, action, or body concerns, addresses, or is about a particular subject or topic.
-
E.
compulsoryEducation
Indicates that an entity is legally required to participate in a specified level or period of formal education.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52644959c8190b1117608e5fa15aa |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:30 a.m.