Triple
T16706390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semi-Pelagianism |
E405980
|
entity |
| Predicate | oftenLabeledAs |
P83591
|
FINISHED |
| Object | a mediating position between Pelagianism and Augustinianism |
—
|
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: a mediating position between Pelagianism and Augustinianism | Statement: [Semi-Pelagianism, oftenLabeledAs, a mediating position between Pelagianism and Augustinianism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenLabeledAs Context triple: [Semi-Pelagianism, oftenLabeledAs, a mediating position between Pelagianism and Augustinianism]
-
A.
commonLabel
Indicates that two or more entities share the same label or designation.
-
B.
oftenEquatedWith
Indicates that one entity is frequently regarded, interpreted, or treated as being the same as or equivalent to another entity, though not necessarily strictly identical.
-
C.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
D.
oftenRefersTo
chosen
Indicates that one entity is frequently used to mention, denote, or reference another entity in common usage or context.
-
E.
usedLabel
Indicates that one entity has applied, assigned, or referenced a particular label to another entity or resource.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3833695908190afd4d2ece233be00 |
completed | April 18, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.