Triple
T28715263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. claimed victory |
E729942
|
entity |
| Predicate | characterizesOutcomeAs |
P22390
|
FINISHED |
| Object | U.S. victory |
—
|
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: U.S. victory | Statement: [U.S. claimed victory, characterizesOutcomeAs, U.S. victory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterizesOutcomeAs Context triple: [U.S. claimed victory, characterizesOutcomeAs, U.S. victory]
-
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.
treatsOutcomeAs
Indicates that one entity regards, handles, or interprets another entity specifically as an outcome or result of some process or situation.
-
D.
canonicalOutcome
Indicates that an event, process, or interaction leads to its standard, primary, or officially recognized result or consequence.
-
E.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: April 28, 2026, 5:50 a.m.