Triple
T99692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Romantic nationalism |
E2013
|
entity |
| Predicate | usedMedium |
P4793
|
FINISHED |
| Object | literature |
—
|
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: literature | Statement: [American Romantic nationalism, usedMedium, literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedMedium Context triple: [American Romantic nationalism, usedMedium, literature]
-
A.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
B.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
C.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
D.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
E.
usedDocument
Indicates that one entity has employed, referenced, or otherwise made use of a particular document in performing an action or fulfilling a purpose.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a253b869448190bd75a3542806b36c |
completed | Feb. 28, 2026, 2:32 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.