Triple
T15867635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Necessary Existent |
E384752
|
entity |
| Predicate | isUltimateExplanationFor |
P3638
|
FINISHED |
| Object | existence rather than non-existence |
—
|
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: existence rather than non-existence | Statement: [Necessary Existent, isUltimateExplanationFor, existence rather than non-existence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUltimateExplanationFor Context triple: [Necessary Existent, isUltimateExplanationFor, existence rather than non-existence]
-
A.
hasOfficialExplanation
Indicates that an entity is accompanied by an authoritative or formally recognized explanation clarifying its reason, cause, or details.
-
B.
usedToExplain
chosen
Indicates that one entity serves as an explanation or clarification for another entity.
-
C.
ultimateAppealLiesTo
Indicates that the final level of appeal or review authority for a decision or case rests with a specified entity or body.
-
D.
ultimatelyDoesNot
Indicates that, despite any preceding conditions or possibilities, the referenced entity or action does not in the end occur, hold, or get carried out.
-
E.
aimsToExplain
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.