Triple
T38135404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reformed Church in Slovakia |
E952336
|
entity |
| Predicate | numberOfCongregationsEstimate |
P12144
|
FINISHED |
| Object | over 200 congregations |
—
|
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: over 200 congregations | Statement: [Reformed Church in Slovakia, numberOfCongregationsEstimate, over 200 congregations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCongregationsEstimate Context triple: [Reformed Church in Slovakia, numberOfCongregationsEstimate, over 200 congregations]
-
A.
hasNumberOfChurches
chosen
Indicates the relationship that specifies how many churches are associated with a given entity.
-
B.
clergyCountEstimate
Indicates an estimated number of clergy associated with a particular entity or context.
-
C.
numberInChurch
Indicates that a specified number of people are present in or belong to a particular church.
-
D.
hasApproximateAdherents
Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
-
E.
hasMemberChurchesIn
Indicates that an organization or group includes member churches that are located within a specified geographic area or jurisdiction.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.