Triple
T38256228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvastra Abbey |
E1017799
|
entity |
| Predicate | hasOriginalOrderRule |
P199518
|
FINISHED |
| Object | Rule of Saint Benedict as interpreted by Cistercians |
—
|
NE NERFINISHED |
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: Rule of Saint Benedict as interpreted by Cistercians | Statement: [Alvastra Abbey, hasOriginalOrderRule, Rule of Saint Benedict as interpreted by Cistercians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalOrderRule Context triple: [Alvastra Abbey, hasOriginalOrderRule, Rule of Saint Benedict as interpreted by Cistercians]
-
A.
originallyOrderedBy
Indicates that one entity was the initial source or originator of an order or request for another entity.
-
B.
originalOrder
Indicates that the entities are arranged or referenced according to their initial, unaltered sequence or configuration.
-
C.
hasOriginalRole
Indicates that an entity previously held a particular role or function before a change to its current role.
-
D.
hasElementOrder
Indicates that one entity is ordered or ranked relative to another within a sequence or hierarchy.
-
E.
hasCanonicalOrdering
Indicates that there is a standard, agreed-upon sequence in which the related elements should be arranged or considered.
- 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_69f76de33e4481909099fa812709bd42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff3fb2318c81908a46c2f513608935 |
completed | May 9, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69ff3e96dcc48190819f6204680d84aa |
completed | May 9, 2026, 2:03 p.m. |
| PDg | Predicate description generation | batch_69ff3fb151008190bf8a90f9f1c5f0c8 |
completed | May 9, 2026, 2:07 p.m. |
Created at: May 3, 2026, 4:30 p.m.