Triple
T11056312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institution Narrative |
E261384
|
entity |
| Predicate | isRecited |
P33123
|
FINISHED |
| Object | during the consecration |
—
|
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: during the consecration | Statement: [Institution Narrative, isRecited, during the consecration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRecited Context triple: [Institution Narrative, isRecited, during the consecration]
-
A.
recites
Indicates that one entity verbally delivers or repeats from memory the words, text, or performance associated with another entity.
-
B.
recitedOnOccasion
chosen
Indicates that something (typically a text, speech, or performance) was recited during or in connection with a specific occasion or event.
-
C.
notRecitedOn
Indicates that a particular text, prayer, or recitation was not performed or spoken on a specified occasion, time, or context.
-
D.
qiraat
Indicates a recitation relationship, where one entity recites, chants, or reads aloud a text or passage.
-
E.
isMaterLectionis
Indicates that a letter functions as a mater lectionis, i.e., it represents a vowel sound rather than serving as a consonant.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a152b4819095b74a8996346077 |
completed | April 9, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.