Triple
T2657520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CECA |
E54648
|
entity |
| Predicate | postConflictContext |
P41238
|
FINISHED |
| Object | post–World War II Europe |
—
|
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 Europe | Statement: [CECA, postConflictContext, post–World War II Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postConflictContext Context triple: [CECA, postConflictContext, post–World War II Europe]
-
A.
postConflictStatus
Indicates the condition or circumstances of an entity after a conflict or dispute has concluded.
-
B.
conflictContext
Indicates the situational background or circumstances within which a conflict between entities occurs or is interpreted.
-
C.
postConflictChallenge
Indicates the difficulties, tensions, or obstacles that arise between parties after a conflict has formally ended.
-
D.
previousConflict
Indicates that a conflict or dispute occurred between the entities at some earlier time prior to the current context.
-
E.
subsequentConflict
Indicates that one conflict occurs after and is temporally subsequent to another conflict.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94c61a08190bdf5e1caeff3e788 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:53 p.m.