Triple
T1206124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobel Peace Prize |
E25891
|
entity |
| Predicate | selectionCriteriaIncludes |
P136
|
FINISHED |
| Object | efforts to end armed conflicts |
—
|
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: efforts to end armed conflicts | Statement: [Nobel Peace Prize, selectionCriteriaIncludes, efforts to end armed conflicts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionCriteriaIncludes Context triple: [Nobel Peace Prize, selectionCriteriaIncludes, efforts to end armed conflicts]
-
A.
selectionCriteria
chosen
Indicates the conditions or rules used to choose certain entities from a larger set.
-
B.
includesClause
Indicates that one entity (typically a document, contract, or statement) contains or incorporates a specific clause as part of its content.
-
C.
isSelective
Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
-
D.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
E.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdc314c88190b1b5953834bfce7b |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.