Triple
T10113670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nineteen Day Feast |
E218302
|
entity |
| Predicate | languageOfReadings |
P17914
|
FINISHED |
| Object | sacred writings of the Bahá'í Faith |
—
|
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: sacred writings of the Bahá'í Faith | Statement: [Nineteen Day Feast, languageOfReadings, sacred writings of the Bahá'í Faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfReadings Context triple: [Nineteen Day Feast, languageOfReadings, sacred writings of the Bahá'í Faith]
-
A.
typicalLanguageOfReadings
Indicates the language that is most commonly used for readings or interpretations associated with a given entity.
-
B.
languageOfBooks
Indicates the language in which the referenced books are written or published.
-
C.
languageOfWritings
chosen
Indicates that a specified language is the one in which certain writings or written works are composed.
-
D.
hasLanguageOfScripture
Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
-
E.
languageOfSermon
Indicates the language in which a sermon is delivered or composed.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd15ed28081909a812e0634799ef8 |
completed | April 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9ed7e48190aa132ef8a69b49f9 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:04 p.m.