Triple
T6270265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forever |
E140515
|
entity |
| Predicate | degreeOfSpecificity |
P44268
|
FINISHED |
| Object | indefinite |
—
|
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: indefinite | Statement: [Forever, degreeOfSpecificity, indefinite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfSpecificity Context triple: [Forever, degreeOfSpecificity, indefinite]
-
A.
typeOfSignificance
Indicates that one entity specifies the nature or category of importance, relevance, or significance that another entity possesses.
-
B.
generalizationProperty
Indicates that one property is a more general, overarching version of another property, capturing a broader or more abstract relationship.
-
C.
refersSpecificallyTo
chosen
Indicates that one entity makes an explicit, precise reference to another particular entity, distinguishing it from more general or ambiguous references.
-
D.
degreeOfDecipherment
Indicates the extent to which something (such as a text, code, or script) has been successfully deciphered or made intelligible.
-
E.
positionSpecific
Indicates that something applies only at, or is defined with respect to, a particular position or location within a larger structure or sequence.
- 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.