Triple
T19639996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter to the Romans (Ignatius) |
E471504
|
entity |
| Predicate | contextOfComposition |
P136792
|
FINISHED |
| Object | journey to martyrdom |
—
|
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: journey to martyrdom | Statement: [Letter to the Romans (Ignatius), contextOfComposition, journey to martyrdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contextOfComposition Context triple: [Letter to the Romans (Ignatius), contextOfComposition, journey to martyrdom]
-
A.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
B.
context
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
C.
contextType
Indicates the type or category of contextual information associated with an entity or event.
-
D.
currentComposition
Indicates that one entity is presently composed of, or made up from, another entity or set of entities.
-
E.
surfaceCompositionContext
Indicates the contextual relationship specifying how a surface’s composition is characterized, defined, or interpreted within a particular setting or set of conditions.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641215df48190926b38e6502bb83e |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e51a23300c8190988552491d9783d7 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:44 p.m.