Triple
T16868794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 Corinthians 1 |
E410114
|
entity |
| Predicate | hasOrderInBook |
P66157
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1 Corinthians 1, hasOrderInBook, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrderInBook Context triple: [1 Corinthians 1, hasOrderInBook, 1]
-
A.
hasOrder
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
B.
hasPositionInBook
chosen
Indicates that an entity occupies a specific position or location within a book.
-
C.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
D.
hasLayOrder
Indicates that one entity has issued, received, or is subject to a formal lay order associated with another entity.
-
E.
isOrderOf
Indicates that one entity specifies the sequence, arrangement, or ranking in which elements of another entity are organized or occur.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50a82348190b3e33fd558aa3c7f |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.