Triple
T6270274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forever |
E140515
|
entity |
| Predicate | canBeInterpretedAs |
P4529
|
FINISHED |
| Object | literal eternity |
—
|
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: literal eternity | Statement: [Forever, canBeInterpretedAs, literal eternity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeInterpretedAs Context triple: [Forever, canBeInterpretedAs, literal eternity]
-
A.
interpretedAs
chosen
Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
-
B.
isInterpretedBy
Indicates that something (such as data, a work, or a signal) is given meaning, understanding, or explanation by a particular agent or process.
-
C.
canBeTypeOf
Indicates that one entity is capable of serving as, or being classified as, a particular type or category of another entity.
-
D.
isInterpretedDifferentlyIn
Indicates that the same item, event, or expression is understood or construed in a different way within a specified context, group, or setting.
-
E.
containsInterpretationOf
Indicates that one entity includes or embodies an interpretation or understanding of another 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a3f1d081908ccff88db94b1f9c |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.