Triple
T4863712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Pantheon of Venezuela |
E108718
|
entity |
| Predicate | convertedToPantheon |
P59466
|
FINISHED |
| Object | 1874 |
—
|
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: 1874 | Statement: [National Pantheon of Venezuela, convertedToPantheon, 1874]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToPantheon Context triple: [National Pantheon of Venezuela, convertedToPantheon, 1874]
-
A.
convertedToTemple
Indicates that something has been transformed, repurposed, or officially designated to function as a temple.
-
B.
convertedToTempleAfter
Indicates that a structure or place was transformed from its original use into a temple at a later time.
-
C.
hasPantheonName
Indicates that an entity is associated with a specific pantheon and is identified by the given pantheon name.
-
D.
sharedPantheonWith
Indicates that two deities or mythological figures belong to or are worshiped within the same religious pantheon or mythological tradition.
-
E.
positionInPantheon
Indicates the rank, role, or hierarchical standing that a deity or figure holds within a specific pantheon or religious hierarchy.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7718e48190af4c0d1abfa87795 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6cfa8bd881908e376ab286759cc2 |
completed | March 20, 2026, 3:51 p.m. |
Created at: March 20, 2026, 1:26 p.m.