Triple
T32806596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America’s First Cathedral |
E839035
|
entity |
| Predicate | nationalShrineDesignation |
P92828
|
FINISHED |
| Object | 1937 |
—
|
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: 1937 | Statement: [America’s First Cathedral, nationalShrineDesignation, 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalShrineDesignation Context triple: [America’s First Cathedral, nationalShrineDesignation, 1937]
-
A.
countryShrineOf
Indicates that a country is the location or host nation of a particular shrine.
-
B.
nationalDesignation
Indicates that an entity has been formally assigned a specific status, title, or classification by a nation or national authority.
-
C.
stateShrineOf
chosen
Indicates that one entity is officially designated as a state-recognized shrine associated with or located within another entity (typically a state or region).
-
D.
designatedAsNationalTreasureBy
Indicates that an entity has been officially recognized and declared a national treasure by a specific authority or country.
-
E.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 1, 2026, 1:15 a.m.