Triple
T11228912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huambisa |
E265767
|
entity |
| Predicate | usedInCountryOfficialPrograms |
P97943
|
FINISHED |
| Object | bilingual intercultural education in Peru |
—
|
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: bilingual intercultural education in Peru | Statement: [Huambisa, usedInCountryOfficialPrograms, bilingual intercultural education in Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCountryOfficialPrograms Context triple: [Huambisa, usedInCountryOfficialPrograms, bilingual intercultural education in Peru]
-
A.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
B.
usedInCountryOrRegion
Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
-
C.
usedInOfficialDocumentsOf
Indicates that something (e.g., a term, symbol, or format) is employed within the formal or legally recognized documents issued by a particular entity or jurisdiction.
-
D.
usedInCountries
Indicates that something is utilized or applied within one or more specified countries.
-
E.
hasRegionalProgram
Indicates that an entity operates, offers, or is associated with a program that is specific to a particular geographic 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfdf7a88190aae21572e57ef208 |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.