Triple
T2435233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorialism |
E52943
|
entity |
| Predicate | understandsPresenceAs |
P31835
|
FINISHED |
| Object | spiritual presence to faith rather than in the elements |
—
|
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: spiritual presence to faith rather than in the elements | Statement: [Memorialism, understandsPresenceAs, spiritual presence to faith rather than in the elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: understandsPresenceAs Context triple: [Memorialism, understandsPresenceAs, spiritual presence to faith rather than in the elements]
-
A.
typeOfPresence
chosen
Indicates the manner or mode in which an entity is present or exists in relation to another entity, context, or environment.
-
B.
meetsInPresenceOf
Indicates that two or more entities meet or interact while another specified entity is present as a witness, chaperone, or contextual participant.
-
C.
modernPresence
Indicates that something exists, appears, or is active in the contemporary or present-day context.
-
D.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
-
E.
globalPresence
Indicates that an entity operates, is represented, or has a significant footprint across multiple countries or world regions.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.