Triple
T5596262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek Daniel |
E147004
|
entity |
| Predicate | omittedOrShortenedIn |
P20447
|
FINISHED |
| Object | many Protestant Bibles |
—
|
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: many Protestant Bibles | Statement: [Greek Daniel, omittedOrShortenedIn, many Protestant Bibles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: omittedOrShortenedIn Context triple: [Greek Daniel, omittedOrShortenedIn, many Protestant Bibles]
-
A.
abridgedIn
chosen
Indicates that one entity is a shortened or condensed version of the content found within another entity.
-
B.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
C.
shortensBefore
Indicates that one entity causes another entity’s duration, length, or extent to become shorter prior to a specified reference point or event.
-
D.
notAbbreviationOf
Indicates that one term is explicitly asserted not to be an abbreviation or shortened form of another term.
-
E.
termShortenedBy
Indicates that one term is a shortened, abbreviated, or truncated form derived from another term.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bf77cc8190b8ca473c3a2e1d28 |
completed | March 22, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.