Triple
T33808580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-Ethiopia Socialist Movement |
E866462
|
entity |
| Predicate | languageOfInternalDiscourse |
P201930
|
FINISHED |
| Object | Amharic |
—
|
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: Amharic | Statement: [All-Ethiopia Socialist Movement, languageOfInternalDiscourse, Amharic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfInternalDiscourse Context triple: [All-Ethiopia Socialist Movement, languageOfInternalDiscourse, Amharic]
-
A.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
B.
languageDiscussedIn
Indicates that a particular language is the topic of discussion within a specified context, source, or discourse.
-
C.
languageOfSelfDescription
Indicates the language in which an entity describes itself (e.g., in its self-presentation, profile, or official self-authored text).
-
D.
identityLanguage
Indicates that two language entities are identical or represent the same language.
-
E.
languageOfVocalization
Indicates the language in which a vocalization (such as speech or singing) is produced.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00332eaa0c8190a69ea895576bb0ee |
completed | May 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_6a0032b2ea80819083b89ebb88165933 |
completed | May 10, 2026, 7:24 a.m. |
| PDg | Predicate description generation | batch_6a00332d97b88190bafe39ac6f1904ba |
completed | May 10, 2026, 7:26 a.m. |
Created at: May 1, 2026, 1:46 a.m.