Triple
T27175062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triumph |
E683020
|
entity |
| Predicate | describesResultOf |
P22390
|
FINISHED |
| Object | effort |
—
|
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: effort | Statement: [Triumph, describesResultOf, effort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesResultOf Context triple: [Triumph, describesResultOf, effort]
-
A.
describesOutcomeOf
chosen
Indicates that one entity specifies or characterizes the result, consequence, or outcome produced by another entity or process.
-
B.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
C.
result
Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
-
D.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
E.
resultUsage
Indicates how the outcome or result of an action, process, or event is used, applied, or consumed in relation to another entity or context.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 9:25 a.m.