Triple
T6087812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Litany |
E135683
|
entity |
| Predicate | termOriginWord |
P5801
|
FINISHED |
| Object | ektenia |
—
|
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: ektenia | Statement: [Little Litany, termOriginWord, ektenia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termOriginWord Context triple: [Little Litany, termOriginWord, ektenia]
-
A.
etymologicalSource
chosen
Indicates that one term or name originates from, is derived from, or has its roots in another term or name.
-
B.
etymologicalRootMeaning
Indicates that one term’s meaning originates from or is derived from the historical or original meaning of another term.
-
C.
etymologicalField
Indicates that one term belongs to a particular semantic or conceptual domain relevant to its etymological origin or historical development.
-
D.
etymologicalNote
Indicates that there is a note explaining the origin, historical development, or source language of a term or name.
-
E.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0578bf2508190859c2dbd4c10b316 |
completed | March 22, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.