Triple
T8058277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dasein (Heidegger) |
E188052
|
entity |
| Predicate | hasExistentiale |
P80802
|
FINISHED |
| Object | understanding |
—
|
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: understanding | Statement: [Dasein (Heidegger), hasExistentiale, understanding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExistentiale Context triple: [Dasein (Heidegger), hasExistentiale, understanding]
-
A.
hasExits
Indicates that an entity provides one or more ways out or routes leading from it to other locations or states.
-
B.
existsIf
Indicates that the existence or validity of one entity or condition depends on the presence or truth of another specified condition.
-
C.
existsFor
Indicates that something is present, available, or holds true for a particular entity, context, or condition.
-
D.
existedAs
Indicates that one entity had the status, form, or identity of another entity during a certain time or context.
-
E.
concludesExistenceOf
Indicates that one entity determines or infers that another entity exists.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa51adc8190b9327441bd8b9fb3 |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:25 p.m.