Triple
T12952761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brother Rice High School |
E309931
|
entity |
| Predicate | hasCatholicIdentity |
P35445
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Brother Rice High School, hasCatholicIdentity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatholicIdentity Context triple: [Brother Rice High School, hasCatholicIdentity, true]
-
A.
hasEcclesialIdentity
chosen
Indicates that an entity possesses or is characterized by a particular ecclesial (church-related) identity or affiliation.
-
B.
hasCatholicDiocese
Indicates that a specified place or region falls under the jurisdiction of a particular Catholic diocese.
-
C.
isEasternCatholic
Indicates that one entity belongs to, practices, or is affiliated with an Eastern Catholic Church in relation to another entity or classification.
-
D.
hasCatholicosate
Indicates that an entity holds, contains, or is associated with a Catholicosate (the ecclesiastical jurisdiction or office of a Catholicos).
-
E.
hasCatechism
Indicates that an entity possesses, is associated with, or includes a catechism (a formal summary of religious doctrine, typically in question-and-answer format).
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.