Triple
T743475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locarno Era |
E15290
|
entity |
| Predicate | endedDueTo |
P18909
|
FINISHED |
| Object | growing German dissatisfaction with Versailles settlement |
—
|
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: growing German dissatisfaction with Versailles settlement | Statement: [Locarno Era, endedDueTo, growing German dissatisfaction with Versailles settlement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endedDueTo Context triple: [Locarno Era, endedDueTo, growing German dissatisfaction with Versailles settlement]
-
A.
postponementReason
Indicates the reason or cause for which an event, action, or decision has been delayed or rescheduled.
-
B.
hasDeadline
Indicates that an entity is associated with a specific due date or time by which it must be completed or fulfilled.
-
C.
endedWith
Indicates that one event, process, or state concluded with or was finalized by another specified event, condition, or outcome.
-
D.
adjournedFor
Indicates that an event, meeting, or proceeding has been paused or suspended for a specified duration or until a particular time or condition is met.
-
E.
endedConflict
Indicates that a previously ongoing conflict between entities has been brought to an end.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.