Triple
T36515696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purification of the Virgin Mary |
E900030
|
entity |
| Predicate | wasWidelyObservedBy |
P1165
|
FINISHED |
| Object | Middle Ages in Western Europe |
—
|
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: Middle Ages in Western Europe | Statement: [Purification of the Virgin Mary, wasWidelyObservedBy, Middle Ages in Western Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasWidelyObservedBy Context triple: [Purification of the Virgin Mary, wasWidelyObservedBy, Middle Ages in Western Europe]
-
A.
firstWidelyObserved
Indicates that something was initially noticed or recorded by a large number of observers or across a broad context for the first time.
-
B.
isWidelyFollowedBy
Indicates that one entity is followed, subscribed to, or tracked by a large number of other entities.
-
C.
observedBy
chosen
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
D.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
E.
observedNationwide
Indicates that an event, phenomenon, or condition has been observed across an entire nation rather than in a limited or local area.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.