Triple
T32413178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighteenth Amendment to the Constitution of Pakistan |
E828277
|
entity |
| Predicate | affectedNumberOfArticles |
P443
|
FINISHED |
| Object | over 100 articles of the Constitution of Pakistan |
—
|
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: over 100 articles of the Constitution of Pakistan | Statement: [Eighteenth Amendment to the Constitution of Pakistan, affectedNumberOfArticles, over 100 articles of the Constitution of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedNumberOfArticles Context triple: [Eighteenth Amendment to the Constitution of Pakistan, affectedNumberOfArticles, over 100 articles of the Constitution of Pakistan]
-
A.
affectedArticle
Indicates that one entity is an article that is impacted, influenced, or changed as a result of another entity or action.
-
B.
articleCount
chosen
Indicates the number of articles associated with a given entity or context.
-
C.
articleCountApprox
Indicates that the relationship specifies an approximate number of articles associated with an entity.
-
D.
numberOfArticlesOmitted
Indicates the count of articles that have been left out or excluded from a given set, collection, or context.
-
E.
hasCanonicalNumberOfArticles
Indicates that an entity is associated with a standard, officially recognized count of articles that define or describe it.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 12:53 a.m.