Triple
T2276135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falasha |
E50774
|
entity |
| Predicate | discouragedUsageReason |
P37640
|
FINISHED |
| Object | pejorative connotations |
—
|
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: pejorative connotations | Statement: [Falasha, discouragedUsageReason, pejorative connotations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discouragedUsageReason Context triple: [Falasha, discouragedUsageReason, pejorative connotations]
-
A.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
B.
notRecommendedBy
Indicates that one entity explicitly advises against or does not endorse another entity.
-
C.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
D.
usedInsteadOf
Indicates that one entity is employed or chosen as a substitute or replacement for another entity.
-
E.
restrictedFromUseFor
Indicates that something is prohibited or limited from being used for a specified purpose, context, or application.
- 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_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. |
| PDg | Predicate description generation | batch_69abc39b2f548190a38f604e0d36db3a |
completed | March 7, 2026, 6:20 a.m. |
Created at: March 4, 2026, 7:48 p.m.