Triple
T9897267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighteenth Amendment to the Constitution of Pakistan |
E182207
|
entity |
| Predicate | numberOfArticlesOmitted |
P91042
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Eighteenth Amendment to the Constitution of Pakistan, numberOfArticlesOmitted, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArticlesOmitted Context triple: [Eighteenth Amendment to the Constitution of Pakistan, numberOfArticlesOmitted, 7]
-
A.
articleCountApprox
Indicates that the relationship specifies an approximate number of articles associated with an entity.
-
B.
articleCount
Indicates the number of articles associated with a given entity or context.
-
C.
hasCanonicalNumberOfArticles
Indicates that an entity is associated with a standard, officially recognized count of articles that define or describe it.
-
D.
hasAdditionalArticlesSince
Indicates that an entity has gained one or more new articles since a specified prior point in time or state.
-
E.
containsArticle
Indicates that one entity includes or holds an article (such as a written piece, item, or document) as part of its contents.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4ab15f881909f75a8e01051dbc4 |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.