Triple
T12294884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province V of the Episcopal Church |
E293056
|
entity |
| Predicate | numberOfProvincesInChurch |
P3455
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Province V of the Episcopal Church, numberOfProvincesInChurch, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfProvincesInChurch Context triple: [Province V of the Episcopal Church, numberOfProvincesInChurch, 9]
-
A.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
-
B.
numberOfParishes
Indicates the total count of parishes associated with a given entity.
-
C.
numberOfProvinces
Indicates the total count of provinces associated with a given entity or within a specified region or country.
-
D.
churchProvince
Indicates that one entity is an ecclesiastical province to which the other entity (typically a church jurisdiction or diocese) belongs or is administratively subordinate.
-
E.
hasNumberOfProvinces
chosen
Indicates the total count of provinces associated with a given entity.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:52 p.m.