Triple
T14052294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part XIV of the Constitution of India |
E338120
|
entity |
| Predicate | chapterIArticlesRange |
P59609
|
FINISHED |
| Object | Articles 308 to 314 |
—
|
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: Articles 308 to 314 | Statement: [Part XIV of the Constitution of India, chapterIArticlesRange, Articles 308 to 314]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapterIArticlesRange Context triple: [Part XIV of the Constitution of India, chapterIArticlesRange, Articles 308 to 314]
-
A.
bookChapterRange
Indicates a relationship where a specified range of chapters within a book is identified or referenced as a contiguous segment.
-
B.
articleRange
chosen
Indicates that one entity specifies the start and end points of a contiguous range of articles that are grouped or referenced together.
-
C.
articleNumberRange
Indicates that something is associated with or falls within a specified range of article numbers.
-
D.
publicationPeriodAsArticles
Indicates the time span during which the referenced work was published in the form of individual articles.
-
E.
articleCount
Indicates the number of articles associated with a given entity or context.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8bc54c8190a12f0fc056568538 |
completed | April 14, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.