Triple
T9781887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelus |
E237394
|
entity |
| Predicate | openingWordsLatin |
P90624
|
FINISHED |
| Object | Angelus Domini nuntiavit Mariae |
—
|
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: Angelus Domini nuntiavit Mariae | Statement: [Angelus, openingWordsLatin, Angelus Domini nuntiavit Mariae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingWordsLatin Context triple: [Angelus, openingWordsLatin, Angelus Domini nuntiavit Mariae]
-
A.
correspondsToLatinWord
Indicates that one element is the equivalent or matching term of another element in Latin.
-
B.
latinMeaning
Indicates that one entity expresses or specifies the meaning or translation of another entity in Latin.
-
C.
openingWordsMeaning
Indicates that the meaning or significance of a text is conveyed or characterized by its opening words.
-
D.
mottoTextLatin
Indicates that the relationship specifies the Latin-language wording of an entity's motto.
-
E.
openingWordsHebrew
Indicates that the specified words are the opening (initial) words of a text or passage in Hebrew.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b23cb88190b458ab18d5f7f493 |
completed | April 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:27 p.m.