Triple
T5902102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of Suyapa |
E131251
|
entity |
| Predicate | shrineType |
P67225
|
FINISHED |
| Object | Marian shrine |
—
|
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: Marian shrine | Statement: [Basilica of Suyapa, shrineType, Marian shrine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shrineType Context triple: [Basilica of Suyapa, shrineType, Marian shrine]
-
A.
enshrines
Indicates that one entity formally preserves, protects, or honors another by giving it a permanent, often sacred or legally recognized, status.
-
B.
typicalShrineFeature
Indicates that something is a characteristic or commonly found element of a shrine.
-
C.
shrineRank
Indicates the hierarchical or status level assigned to a shrine relative to other shrines.
-
D.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
E.
associatedShrine
Indicates that there is a specific shrine linked or connected to the given entity, typically as its dedicated or related place of worship or reverence.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c0400dbec08190b2ef73689b2c0c31 |
completed | March 22, 2026, 7:16 p.m. |
Created at: March 22, 2026, 3:58 p.m.