Triple
T193945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Victory |
E3777
|
entity |
| Predicate | discontinued |
P1466
|
FINISHED |
| Object | post-World War II period |
—
|
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: post-World War II period | Statement: [Order of Victory, discontinued, post-World War II period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discontinued Context triple: [Order of Victory, discontinued, post-World War II period]
-
A.
discontinuedIn
chosen
Indicates that an item, product, or service stopped being produced, offered, or supported starting in a specified time or place.
-
B.
scrapped
Indicates that something planned, created, or in progress was abandoned, discarded, or cancelled and will no longer be pursued or used.
-
C.
ceasedPublication
Indicates that an entity (such as a publication or series) has stopped being produced or released and is no longer ongoing.
-
D.
retired
Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
-
E.
concluded
Indicates that an entity has brought an event, process, discussion, or agreement to an end, often after reaching a decision or final judgment.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2596810c48190ab687c0c2efaa9e2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a256769ad8819083c1d83082c0215e |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.