Triple
T8834296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 Corinthians 14 |
E210225
|
entity |
| Predicate | famouslyStates |
P34
|
FINISHED |
| Object | "Let all things be done decently and in order" |
—
|
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: "Let all things be done decently and in order" | Statement: [1 Corinthians 14, famouslyStates, "Let all things be done decently and in order"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famouslyStates Context triple: [1 Corinthians 14, famouslyStates, "Let all things be done decently and in order"]
-
A.
foundingState
Indicates that a state or entity played a primary role in establishing or creating another organization, institution, or political entity.
-
B.
states
chosen
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
-
C.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
D.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
E.
isStateMottoOf
Indicates that a phrase or sentence serves as the official state motto of a particular state.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60686cac8190b3138db40b6fe058 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.