Triple
T442406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Patrick's Day |
E10139
|
entity |
| Predicate | historicalOriginCentury |
P6026
|
FINISHED |
| Object | 9th century |
—
|
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: 9th century | Statement: [St. Patrick's Day, historicalOriginCentury, 9th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalOriginCentury Context triple: [St. Patrick's Day, historicalOriginCentury, 9th century]
-
A.
foundedInCentury
Indicates that an entity was established or came into existence during a specified century.
-
B.
introducedInCentury
chosen
Indicates the century during which something (such as an idea, technology, practice, or entity) was first introduced or came into use.
-
C.
discoveredInCentury
Indicates that an entity was discovered during a specific century.
-
D.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
E.
flourishedInCentury
Indicates that an entity experienced its peak activity, influence, or development during a specified century.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef42b4008190abed9d79926c7022 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2edde2b9c8190bd20b582eb4c5065 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.