Triple
T9097743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronze Medal of Military Valor |
E218069
|
entity |
| Predicate | typeOfValor |
P4224
|
FINISHED |
| Object | personal bravery |
—
|
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: personal bravery | Statement: [Bronze Medal of Military Valor, typeOfValor, personal bravery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfValor Context triple: [Bronze Medal of Military Valor, typeOfValor, personal bravery]
-
A.
typeOfValue
Indicates that one entity specifies the kind or category of value associated with another entity.
-
B.
typeOf
chosen
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
C.
variableType
Indicates that one entity is the type or data category of the other entity, which is a variable.
-
D.
typeOfCondition
Indicates that one condition is a specific kind, category, or subtype of another condition.
-
E.
typeOfExpression
Indicates that one entity is classified as a specific kind or category of expression represented by the other entity.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc970f340881909f5551219f151acf |
completed | April 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:15 p.m.