Triple
T6048646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John the Divine |
E134730
|
entity |
| Predicate | bookPosition |
P66157
|
FINISHED |
| Object | final book of the New Testament |
—
|
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: final book of the New Testament | Statement: [John the Divine, bookPosition, final book of the New Testament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookPosition Context triple: [John the Divine, bookPosition, final book of the New Testament]
-
A.
hasPositionInBook
chosen
Indicates that an entity occupies a specific position or location within a book.
-
B.
shelfMark
Indicates the classification or call number assigned to an item to specify its exact location on a shelf or within a storage system.
-
C.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
D.
readingLocation
Indicates the place or position where a reading activity occurs or is associated with an entity.
-
E.
bookSelection
Indicates the act or result of choosing a particular book from a set of available options.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f387cc8190920b846995761aec |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.