Triple
T2276147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falasha |
E50774
|
entity |
| Predicate | usageRecommendation |
P34894
|
FINISHED |
| Object | avoid in favor of Beta Israel or Ethiopian Jews |
—
|
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: avoid in favor of Beta Israel or Ethiopian Jews | Statement: [Falasha, usageRecommendation, avoid in favor of Beta Israel or Ethiopian Jews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usageRecommendation Context triple: [Falasha, usageRecommendation, avoid in favor of Beta Israel or Ethiopian Jews]
-
A.
recommendsUseOf
chosen
Indicates that one entity advises, endorses, or suggests the use of another entity as appropriate or beneficial in a given context.
-
B.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
C.
recommendedEquipment
Indicates that one entity suggests or endorses another entity as suitable equipment to be used in a particular context or activity.
-
D.
canRecommend
Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
-
E.
commendedFor
Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.