Triple
T18681504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The True Doctrine |
E456743
|
entity |
| Predicate | knownFromWorkType |
P86785
|
FINISHED |
| Object | Christian apologetic treatise |
—
|
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: Christian apologetic treatise | Statement: [The True Doctrine, knownFromWorkType, Christian apologetic treatise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownFromWorkType Context triple: [The True Doctrine, knownFromWorkType, Christian apologetic treatise]
-
A.
knownFrom
Indicates that one entity is aware of, has learned about, or recognizes another entity through a specified source, context, or medium.
-
B.
originallyFromWorkType
Indicates that one entity was derived, adapted, or sourced from an original work of a specified type (e.g., book, film, artwork).
-
C.
knownIn
Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
-
D.
associatedWorkType
chosen
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
-
E.
identifiesWork
Indicates that one entity recognizes or specifies another entity as a particular work (such as a creative, scholarly, or professional output) associated with it.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2906ec8190ad8db8e3ae6b2945 |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.