Triple
T29361355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopia and Eritrea |
E744598
|
entity |
| Predicate | EritreaWorkingLanguages |
P18404
|
FINISHED |
| Object | Tigrinya |
—
|
NE NERFINISHED |
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: Tigrinya | Statement: [Ethiopia and Eritrea, EritreaWorkingLanguages, Tigrinya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EritreaWorkingLanguages Context triple: [Ethiopia and Eritrea, EritreaWorkingLanguages, Tigrinya]
-
A.
languageNameAmharic
Indicates that the subject’s language name is expressed in the Amharic language.
-
B.
isWorkingLanguageOf
chosen
Indicates that a particular language is officially used as a medium of work, communication, or operation within a specified organization, institution, or context.
-
C.
idiomasOficiales
Indicates that one or more languages are officially recognized or designated for use by a given entity (such as a country, region, or institution).
-
D.
isSpokenLanguageOf
Indicates that a particular language is used as the spoken language by a specified person, group, or community.
-
E.
officialLanguageInParts
Indicates that a language holds official status only in certain regions or subdivisions of a larger geopolitical entity, rather than throughout the entire entity.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6698892e88190b076bb0cdf159d8b |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 2:18 p.m.