Triple
T8339670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Presbyterian Church in the U.S.A. |
E195877
|
entity |
| Predicate | introducedConfessionYear |
P3297
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [United Presbyterian Church in the U.S.A., introducedConfessionYear, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedConfessionYear Context triple: [United Presbyterian Church in the U.S.A., introducedConfessionYear, 1967]
-
A.
confessionYear
Indicates the year in which a confession (such as an admission of guilt, belief, or wrongdoing) took place or was formally recorded.
-
B.
introducedInYear
chosen
Indicates the year in which something was first introduced, launched, or made available.
-
C.
introducedDuring
Indicates that one entity was first brought into existence, use, or awareness within the time period, event, or context specified by the other entity.
-
D.
reintroducedInYear
Indicates that an entity, previously absent or discontinued, was brought back or reinstated in a specified year.
-
E.
madePublicConfessionAt
Indicates that an entity openly admitted or confessed something in a public setting at a specific time or place.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.