Triple
T16641893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article XXV of the Pennsylvania Constitution |
E404356
|
entity |
| Predicate | isPartOfDocumentType |
P105894
|
FINISHED |
| Object | state constitution |
—
|
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: state constitution | Statement: [Article XXV of the Pennsylvania Constitution, isPartOfDocumentType, state constitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfDocumentType Context triple: [Article XXV of the Pennsylvania Constitution, isPartOfDocumentType, state constitution]
-
A.
isSectionOfDocumentType
chosen
Indicates that one entity is a section or component belonging to a specific type of document.
-
B.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
-
C.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
D.
documentTypeUsed
Indicates that a particular type or category of document is employed or applied in a given context or activity.
-
E.
worksOnDocumentType
Indicates that an entity is involved in handling, processing, or performing tasks related to a specific type or category of document.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad1a7748190aa9308d4e96c566c |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e296af2f88819092c9ffee4a65d7dd |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:18 a.m.