Triple
T23807091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indulgentiam prayer |
E589737
|
entity |
| Predicate | textBeginsWithLatin |
P144990
|
FINISHED |
| Object | Indulgentiam, absolutionem et remissionem peccatorum nostrorum |
—
|
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: Indulgentiam, absolutionem et remissionem peccatorum nostrorum | Statement: [Indulgentiam prayer, textBeginsWithLatin, Indulgentiam, absolutionem et remissionem peccatorum nostrorum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textBeginsWithLatin Context triple: [Indulgentiam prayer, textBeginsWithLatin, Indulgentiam, absolutionem et remissionem peccatorum nostrorum]
-
A.
hasLatinIncipit
chosen
Indicates that an entity begins with, or is identified by, a specified Latin opening phrase (incipit).
-
B.
usesLatinAlphabetSince
Indicates that an entity has employed the Latin alphabet as its writing system starting from a specific point in time and continuing thereafter.
-
C.
beganWith
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
D.
hasLatinTitle
Indicates that an entity possesses a title or name expressed in Latin.
-
E.
firstLineBeginsWith
Indicates that the first line of a text or document starts with a specified sequence of characters or substring.
- 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c752ff6481908cfc20d4f178d526 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:56 p.m.