Triple
T6516552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Seminary of Saint Pius X, Écône |
E148277
|
entity |
| Predicate | formationIncludes |
P1393
|
FINISHED |
| Object | philosophy studies |
—
|
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: philosophy studies | Statement: [International Seminary of Saint Pius X, Écône, formationIncludes, philosophy studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formationIncludes Context triple: [International Seminary of Saint Pius X, Écône, formationIncludes, philosophy studies]
-
A.
formationComponents
Indicates that one entity is composed of, or structurally includes, the other entities as its constituent parts or components.
-
B.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
D.
containsFormation
Indicates that one entity spatially or structurally includes or encloses a formation as part of its extent or composition.
-
E.
formationPrinciple
Indicates the underlying rule, pattern, or principle according to which something is formed, structured, or brought into existence.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0ece2081909c14accef90efd7c |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.