Triple
T1283976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ash Wednesday |
E27389
|
entity |
| Predicate | abstinenceFrom |
P272
|
FINISHED |
| Object | meat (in many traditions) |
—
|
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: meat (in many traditions) | Statement: [Ash Wednesday, abstinenceFrom, meat (in many traditions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abstinenceFrom Context triple: [Ash Wednesday, abstinenceFrom, meat (in many traditions)]
-
A.
prohibits
chosen
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
B.
abstentions
Indicates that certain eligible participants chose not to cast a vote or express a position in a decision-making process.
-
C.
doesNotAbolish
Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
-
D.
addiction
Indicates a compulsive dependence of one entity on a substance, activity, or behavior, typically despite negative consequences and difficulty stopping.
-
E.
isSociallyStigmatized
Indicates that an entity is viewed negatively or disapproved of by society or a social group, often leading to prejudice or discrimination.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b599ac819096fca9ada294d939 |
completed | March 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.