Triple
T3928879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Days |
E93344
|
entity |
| Predicate | customIncludes |
P1393
|
FINISHED |
| Object | abstention from meat and wine (with some exceptions) |
—
|
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: abstention from meat and wine (with some exceptions) | Statement: [Nine Days, customIncludes, abstention from meat and wine (with some exceptions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customIncludes Context triple: [Nine Days, customIncludes, abstention from meat and wine (with some exceptions)]
-
A.
processIncludes
Indicates that a process contains, encompasses, or incorporates another process or subprocess as part of its overall execution or structure.
-
B.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
includeUses
Indicates that one entity incorporates or relies on another entity as a component, resource, or dependency in its use or operation.
-
E.
custom
Indicates that something is specially created, configured, or tailored for a particular purpose, context, or user rather than being standard or generic.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda65b708190b24cd715915aec1d |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.