Triple
T1439809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace and Bread in Time of War |
E31043
|
entity |
| Predicate | focusesOnYears |
P29328
|
FINISHED |
| Object | 1914–1918 |
—
|
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: 1914–1918 | Statement: [Peace and Bread in Time of War, focusesOnYears, 1914–1918]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnYears Context triple: [Peace and Bread in Time of War, focusesOnYears, 1914–1918]
-
A.
transitionYear
Indicates the specific year in which a change, shift, or transition from one state, condition, or phase to another occurs.
-
B.
effectiveYear
Indicates the calendar year in which something (such as a rule, status, or agreement) becomes valid or takes effect.
-
C.
originYear
Indicates the year in which something first originated, was created, or began.
-
D.
selectionYear
Indicates the year in which an entity was chosen or selected for a particular role, status, or inclusion.
-
E.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.