Triple
T9897266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighteenth Amendment to the Constitution of Pakistan |
E182207
|
entity |
| Predicate | numberOfArticlesInserted |
P443
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Eighteenth Amendment to the Constitution of Pakistan, numberOfArticlesInserted, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArticlesInserted Context triple: [Eighteenth Amendment to the Constitution of Pakistan, numberOfArticlesInserted, 20]
-
A.
articleCount
chosen
Indicates the number of articles associated with a given entity or context.
-
B.
articleCountApprox
Indicates that the relationship specifies an approximate number of articles associated with an entity.
-
C.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
D.
numberOfEntries
Indicates the total count of individual items, records, or instances associated with a given entity or context.
-
E.
hasAdditionalArticlesSince
Indicates that an entity has gained one or more new articles since a specified prior point in time or state.
- 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_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. |
Created at: March 30, 2026, 8:40 p.m.