Triple
T18129554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Cathedral of the Immaculate Conception |
E433971
|
entity |
| Predicate | importanceInCity |
P18147
|
FINISHED |
| Object | major religious center of Managua |
—
|
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: major religious center of Managua | Statement: [Metropolitan Cathedral of the Immaculate Conception, importanceInCity, major religious center of Managua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceInCity Context triple: [Metropolitan Cathedral of the Immaculate Conception, importanceInCity, major religious center of Managua]
-
A.
localImportance
Indicates that something holds particular significance, influence, or priority within a specific, limited context or area rather than globally.
-
B.
relevanceToCity
Indicates that something has a meaningful connection, impact, or applicability to a particular city.
-
C.
notableInCity
chosen
Indicates that an entity is particularly prominent, recognized, or significant within a specific city.
-
D.
concentratedInCity
Indicates that a large proportion or primary presence of something is located within a particular city.
-
E.
notableImpactCity
Indicates that an entity has had a significant or widely recognized impact on a particular city.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf11a74819094e8fe8dae4615bb |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.