Triple
T6908995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People of God |
E159883
|
entity |
| Predicate | chapterFocus |
P32494
|
FINISHED |
| Object | Lumen gentium, chapter II |
—
|
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: Lumen gentium, chapter II | Statement: [People of God, chapterFocus, Lumen gentium, chapter II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chapterFocus Context triple: [People of God, chapterFocus, Lumen gentium, chapter II]
-
A.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
B.
chapterType
Indicates the specific kind or category of a chapter within a larger work or document.
-
C.
chapterOn
chosen
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another entity.
-
D.
structureFocus
Indicates that attention or emphasis is placed on the structural aspects or organization of something within the described context.
-
E.
commentaryFocus
Indicates that an item of commentary is primarily directed toward or centered on a particular entity, topic, or aspect.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9be98748190b5cb698e66e3aa42 |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.