Triple
T32921388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Lehi abridgment |
E842152
|
entity |
| Predicate | portionOfTranslationLostAs |
P175394
|
FINISHED |
| Object | 116 pages |
—
|
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: 116 pages | Statement: [Book of Lehi abridgment, portionOfTranslationLostAs, 116 pages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portionOfTranslationLostAs Context triple: [Book of Lehi abridgment, portionOfTranslationLostAs, 116 pages]
-
A.
isTranslationBy
Indicates that one entity is a translation produced by a specific agent (such as a person, system, or organization).
-
B.
isTranslatedBy
Indicates that one entity serves as the translator or translating agent responsible for rendering the content of another entity into a different language or form.
-
C.
translationMechanism
Indicates the method or process by which something is converted or translated from one form, system, or representation into another.
-
D.
translationApproximate
Indicates that one entity is an inexact or approximate translation of another, preserving general meaning but not precise wording or full detail.
-
E.
translationActivity
Indicates that an entity is engaged in the process of translating content from one language or form into another.
- F. None of above. chosen
Provenance (4 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:19 a.m.