Triple
T34896968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easter Week VII in the Roman Rite |
E1006461
|
entity |
| Predicate | hasTypicalSecondReadings |
P199648
|
FINISHED |
| Object | New Testament epistles |
—
|
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: New Testament epistles | Statement: [Easter Week VII in the Roman Rite, hasTypicalSecondReadings, New Testament epistles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalSecondReadings Context triple: [Easter Week VII in the Roman Rite, hasTypicalSecondReadings, New Testament epistles]
-
A.
hasTypicalFirstReadings
Indicates that something is associated with a set of standard or commonly expected initial interpretations or readings.
-
B.
hasMandarinReading
Indicates that an entity is associated with a specific reading or pronunciation in Mandarin Chinese.
-
C.
hasKanjiReading
Indicates that a written kanji character is associated with a specific reading or pronunciation.
-
D.
hasVariantReadingsWith
Indicates a relationship where two textual items are linked because they exhibit differing or alternative readings of (typically) the same underlying content.
-
E.
hasSecondMora
Indicates that one element possesses or corresponds to the second mora (timing unit) within a phonological unit such as a syllable or word.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
| PDg | Predicate description generation | batch_69ff49f7db2c819094d488d13985334c |
completed | May 9, 2026, 2:51 p.m. |
Created at: May 3, 2026, 4 p.m.