Triple
T38075916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnavalito |
E950710
|
entity |
| Predicate | hasCountryOfPractice |
P846
|
FINISHED |
| Object | Bolivia |
E3661
|
NE 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: Bolivia | Statement: [Carnavalito, hasCountryOfPractice, Bolivia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryOfPractice Context triple: [Carnavalito, hasCountryOfPractice, Bolivia]
-
A.
hasLanguageOfPractice
Indicates that an entity uses or operates in a particular language as its regular or primary medium of practice.
-
B.
isPracticedAt
Indicates that an activity, skill, or discipline is regularly performed or carried out at a particular location or context.
-
C.
placeOfPractice
Indicates the location where an individual or organization regularly carries out their professional activities or services.
-
D.
practicedMedicineIn
Indicates that a person engaged in the professional practice of medicine within a specified location or jurisdiction.
-
E.
hasCountry
chosen
Indicates that one entity possesses, is associated with, or is located within a specific country.
- F. None of above.
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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41680876788190a5f5e9aaf3933e8d |
completed | June 28, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.