Triple
T32796407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 152A of the Constitution of Pakistan |
E838776
|
entity |
| Predicate | introducedThrough |
P52482
|
FINISHED |
| Object | constitutional amendment |
—
|
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: constitutional amendment | Statement: [Article 152A of the Constitution of Pakistan, introducedThrough, constitutional amendment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedThrough Context triple: [Article 152A of the Constitution of Pakistan, introducedThrough, constitutional amendment]
-
A.
introducedVia
chosen
Indicates that one entity was brought to the attention, presence, or awareness of another entity through a specific intermediary, method, or channel.
-
B.
introducedFrom
Indicates that one entity was brought, originated, or caused to appear in a context, system, or environment by another entity.
-
C.
areIntroducedBy
Indicates that one entity becomes known or presented to another entity through the action or mediation of a third party or process.
-
D.
introducedDuring
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
E.
introducedFor
Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
- 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_69f3493c7f6881908edf2aa13631d1e0 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 1, 2026, 1:14 a.m.