Triple
T634453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Fruit Company |
E15991
|
entity |
| Predicate | capitalizedOn |
P17354
|
FINISHED |
| Object | growing U.S. demand for bananas |
—
|
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: growing U.S. demand for bananas | Statement: [United Fruit Company, capitalizedOn, growing U.S. demand for bananas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalizedOn Context triple: [United Fruit Company, capitalizedOn, growing U.S. demand for bananas]
-
A.
isCapitalizationWeighted
Indicates that something is evaluated or adjusted based on the relative capitalization (size or value of capital) of its components.
-
B.
firstLetter
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
C.
hasCapital
Indicates that a place or political entity has a specific city designated as its capital.
-
D.
capital
Indicates that one place serves as the official seat of government or primary administrative center for another political entity.
-
E.
caps
Indicates that one entity serves as the capital city or administrative center of another entity, such as a country, state, or region.
- F. None of above. chosen
Provenance (4 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee4ee8481908ad45405e3f3835c |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d0483908190a5ec42a7403c258e |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49defe58c8190bd39ef47c9f660a7 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.