Triple
T25379068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornerstone of Peace |
E631332
|
entity |
| Predicate | includesNamesOf |
P27995
|
FINISHED |
| Object | Japanese war dead |
—
|
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: Japanese war dead | Statement: [Cornerstone of Peace, includesNamesOf, Japanese war dead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesNamesOf Context triple: [Cornerstone of Peace, includesNamesOf, Japanese war dead]
-
A.
fullNameIncludes
Indicates that one entity’s full name contains another specified string or name component as a substring.
-
B.
includesCommonName
Indicates that one entity contains or specifies a commonly used (non-scientific) name for another entity.
-
C.
namesAs
chosen
Indicates that one entity assigns or uses a particular name or label to refer to another entity.
-
D.
includesPeopleOf
Indicates that a group, organization, or entity contains or encompasses certain people as its members or participants.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 21, 2026, 1:46 p.m.