Triple
T26202150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 2A of the Constitution of Pakistan |
E655254
|
entity |
| Predicate | definesCharacterOfStateAs |
P95340
|
FINISHED |
| Object | Islamic |
—
|
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: Islamic | Statement: [Article 2A of the Constitution of Pakistan, definesCharacterOfStateAs, Islamic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesCharacterOfStateAs Context triple: [Article 2A of the Constitution of Pakistan, definesCharacterOfStateAs, Islamic]
-
A.
definesStateCharacter
chosen
Indicates that something specifies or determines the essential qualities or characteristics of a state or condition.
-
B.
symbolForState
Indicates that one entity serves as the symbolic representation (such as an icon, emblem, or notation) used to denote or stand for a particular state of another entity.
-
C.
laterCharacterState
Indicates that one character state occurs at a later point in time or sequence relative to another character state.
-
D.
titleCharacterState
Indicates the state or condition a character is in within the context of a specific title or work.
-
E.
definesStateName
Indicates that an entity specifies or assigns the official name of a 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 26, 2026, 8:49 p.m.