Triple
T11128216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decretals of Gregory IX |
E263203
|
entity |
| Predicate | book5Subject |
P97684
|
FINISHED |
| Object | criminal law and penalties |
—
|
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: criminal law and penalties | Statement: [Decretals of Gregory IX, book5Subject, criminal law and penalties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: book5Subject Context triple: [Decretals of Gregory IX, book5Subject, criminal law and penalties]
-
A.
book3Subject
Indicates that an entity serves as the third subject or topic discussed or treated in a particular book.
-
B.
book4Subject
Indicates that something is the subject or topic that a particular book is about.
-
C.
book2Subject
Indicates that an entity serves as the subject or topic that a given book is about.
-
D.
book5Content
Indicates that one entity is the content or textual material contained within the book represented by the other entity.
-
E.
book5Title
Indicates the title assigned to the book identified as "book5."
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e830e804819097fcc3826d84dab8 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d75112eb1c8190ba1dd51e42e8a7e8 |
completed | April 9, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:28 p.m.