Triple
T16831700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excelentísimo Señor Presidente |
E409164
|
entity |
| Predicate | usedInWriting |
P125017
|
FINISHED |
| Object | formal letters to the President of Guatemala |
—
|
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: formal letters to the President of Guatemala | Statement: [Excelentísimo Señor Presidente, usedInWriting, formal letters to the President of Guatemala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInWriting Context triple: [Excelentísimo Señor Presidente, usedInWriting, formal letters to the President of Guatemala]
-
A.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
-
B.
usedToWrite
Indicates that one entity served as a tool, medium, or instrument that another entity employed to perform the act of writing.
-
C.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
-
D.
usedInLanguage
Indicates that something (such as a word, expression, or symbol) is employed or occurs within a particular language.
-
E.
currentlyWrittenIn
Indicates that a work or document is, at the present time, expressed or composed in a particular language or writing system.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b317af8c8190a09cb6d60d28e342 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.