Triple
T19350752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Fontevraud |
E484009
|
entity |
| Predicate | hasRuleOn |
P133032
|
FINISHED |
| Object | strict enclosure for nuns |
—
|
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: strict enclosure for nuns | Statement: [Order of Fontevraud, hasRuleOn, strict enclosure for nuns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRuleOn Context triple: [Order of Fontevraud, hasRuleOn, strict enclosure for nuns]
-
A.
hasRule
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
-
B.
hasRuleFor
chosen
Indicates that one entity defines or applies a rule that governs or constrains another entity or situation.
-
C.
hasRuleOver
Indicates that one entity holds authority, control, or governance over another entity.
-
D.
hasRuleName
Indicates that an entity is associated with a specific rule identified by a particular name.
-
E.
usesRulesFrom
Indicates that one entity applies, follows, or is governed by the rules defined or provided by another entity.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61904a878819084d58ed3b7d8a978 |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.