Triple
T34058876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Future We Want |
E873436
|
entity |
| Predicate | lengthInParagraphs |
P69278
|
FINISHED |
| Object | 283 |
—
|
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: 283 | Statement: [The Future We Want, lengthInParagraphs, 283]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInParagraphs Context triple: [The Future We Want, lengthInParagraphs, 283]
-
A.
hasNumberOfParagraphs
chosen
Indicates that an entity is associated with a specific count of paragraphs it contains or comprises.
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
chapterLength
Indicates the length or extent of a chapter, typically measured in units such as pages, words, or time.
-
D.
articleLength
Indicates the length or size of an article, typically measured in units such as words, characters, or pages.
-
E.
hasTwoParagraphs
Indicates that the related content or text is composed of exactly two distinct paragraphs.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70b972fec8190bdba728067483e09 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.