Triple
T15602339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Francis Xavier Japanese Catholic Center |
E375063
|
entity |
| Predicate | hasOutreachType |
P67233
|
FINISHED |
| Object | cultural outreach to Japanese community |
—
|
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: cultural outreach to Japanese community | Statement: [St. Francis Xavier Japanese Catholic Center, hasOutreachType, cultural outreach to Japanese community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutreachType Context triple: [St. Francis Xavier Japanese Catholic Center, hasOutreachType, cultural outreach to Japanese community]
-
A.
hasOutreachComponent
chosen
Indicates that something includes or is associated with an outreach-related element, activity, or component.
-
B.
hasRecruitType
Indicates that an entity is associated with a specific type or category of recruitment.
-
C.
hasPartnershipType
Indicates the specific kind or category of partnership relationship that exists between entities.
-
D.
hasApproachType
Indicates the specific method, strategy, or manner in which an action, process, or interaction is carried out or approached.
-
E.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e6399d88190b2c3e781667666d4 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:12 a.m.