Triple
T23803192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archdiocese of Melbourne |
E589628
|
entity |
| Predicate | hasYouthMinistryOffice |
P153616
|
FINISHED |
| Object | Archdiocesan Office for Youth |
—
|
NE NERFINISHED |
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: Archdiocesan Office for Youth | Statement: [Archdiocese of Melbourne, hasYouthMinistryOffice, Archdiocesan Office for Youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYouthMinistryOffice Context triple: [Archdiocese of Melbourne, hasYouthMinistryOffice, Archdiocesan Office for Youth]
-
A.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
B.
hasYouthTeam
Indicates that an entity has an associated youth team that serves as its junior or developmental squad.
-
C.
youthLeader
Indicates that an entity holds a leadership role within a youth-focused group, organization, or activity.
-
D.
hasCollegeMinistry
Indicates that an entity offers or is associated with a ministry program specifically serving college or university students.
-
E.
hasLayMinistry
Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
- F. None of above. chosen
Provenance (4 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c74f34108190b11961d634559d2b |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:54 p.m.