Triple
T13284905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La montagne blanche |
E316417
|
entity |
| Predicate | reflectsExperienceOf |
P56736
|
FINISHED |
| Object | Holocaust survivor |
—
|
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: Holocaust survivor | Statement: [La montagne blanche, reflectsExperienceOf, Holocaust survivor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsExperienceOf Context triple: [La montagne blanche, reflectsExperienceOf, Holocaust survivor]
-
A.
providesExperienceOf
Indicates that one entity enables or delivers the experience of another entity to someone or something.
-
B.
settingOfExperience
chosen
Indicates that a particular context, environment, or situation serves as the backdrop or circumstances in which an experience occurs.
-
C.
experienceIncludes
Indicates that a particular experience encompasses, contains, or involves a specified component, activity, or element as part of it.
-
D.
recommendedExperience
Indicates that a certain level or type of prior experience is advised or preferred for engaging in the related activity, role, or item.
-
E.
comparesExperienceTo
Indicates that one entity evaluates or contrasts the level, amount, or quality of experience of one entity with that of another.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.