Triple
T6388302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communicantes |
E143754
|
entity |
| Predicate | hasVariantForms |
P455
|
FINISHED |
| Object | proper inserts for certain feasts |
—
|
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: proper inserts for certain feasts | Statement: [Communicantes, hasVariantForms, proper inserts for certain feasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariantForms Context triple: [Communicantes, hasVariantForms, proper inserts for certain feasts]
-
A.
hasVariantReadingsWith
Indicates a relationship where two textual items are linked because they exhibit differing or alternative readings of (typically) the same underlying content.
-
B.
hasVariant
chosen
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
C.
hasVariantSpelling
Indicates that one term is an alternative spelling form of another term.
-
D.
hasDistinctLetterForms
Indicates that the related writing system or symbol set uses different visual shapes or styles for the same letter in different contexts (such as position, case, or usage).
-
E.
hasVariantSystem
Indicates that one system is an alternative or variant form of another system within the same general framework or category.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0686b4f34819088ff07185b34e536 |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.