Triple
T3740810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bananas: How the United Fruit Company Shaped the World |
E79692
|
entity |
| Predicate | timeToRead |
P2325
|
FINISHED |
| Object | medium-length |
—
|
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: medium-length | Statement: [Bananas: How the United Fruit Company Shaped the World, timeToRead, medium-length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToRead Context triple: [Bananas: How the United Fruit Company Shaped the World, timeToRead, medium-length]
-
A.
timeToComplete
Indicates the duration required for an entity or process to be fully completed.
-
B.
readsTo
Indicates that one entity reads or recites content aloud for the benefit of another entity.
-
C.
requiredReadingFor
Indicates that one item (such as a text or resource) must be read as a mandatory prerequisite or component for engaging with, understanding, or completing another item (such as a course, assignment, or program).
-
D.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
-
E.
timeDescribedAs
chosen
Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb549490819084ebe69aae5ccf95 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.