Triple
T22715004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Catald |
E561704
|
entity |
| Predicate | traditionStatesThat |
P13958
|
FINISHED |
| Object | was an Irish monk who traveled to the Holy Land |
—
|
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: was an Irish monk who traveled to the Holy Land | Statement: [Saint Catald, traditionStatesThat, was an Irish monk who traveled to the Holy Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionStatesThat Context triple: [Saint Catald, traditionStatesThat, was an Irish monk who traveled to the Holy Land]
-
A.
traditionAscribes
chosen
Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
-
B.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
C.
establishedTradition
Indicates that something has become a customary, long-standing practice or convention that is regularly followed within a group, culture, or context.
-
D.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
-
E.
traditionAt
Indicates that a particular tradition is practiced, observed, or associated at a specific place or location.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ca59881909064d49f331fb711 |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:18 p.m.