Triple
T6170851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | church ruins at Cullingsburgh |
E137691
|
entity |
| Predicate | likelyDenomination |
P978
|
FINISHED |
| Object | medieval Catholic Church |
—
|
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: medieval Catholic Church | Statement: [church ruins at Cullingsburgh, likelyDenomination, medieval Catholic Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyDenomination Context triple: [church ruins at Cullingsburgh, likelyDenomination, medieval Catholic Church]
-
A.
denomination
chosen
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
B.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
-
C.
denominationDepicted
Indicates that an item visually represents or shows the monetary denomination (value) of a currency.
-
D.
includesDenomination
Indicates that one entity contains, comprises, or explicitly specifies a particular denomination as part of its definition or composition.
-
E.
usedByDenomination
Indicates that something (such as an object, practice, or concept) is employed or utilized by a particular religious denomination.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d910c3c8190ae6af548259295ff |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.