Triple
T2999341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League of Cambrai |
E81147
|
entity |
| Predicate | conflictBeganInYear |
P44953
|
FINISHED |
| Object | 1508 |
—
|
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: 1508 | Statement: [League of Cambrai, conflictBeganInYear, 1508]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictBeganInYear Context triple: [League of Cambrai, conflictBeganInYear, 1508]
-
A.
conflictEndYear
Indicates the calendar year in which a particular conflict, dispute, or war came to an end.
-
B.
majorConflictYear
Indicates the year in which a major conflict, such as a war or large-scale violent confrontation, took place or reached a defining point.
-
C.
beganDuringConflict
Indicates that the action or relationship started while a specified conflict was ongoing.
-
D.
conflictEra
Indicates that two entities are associated with the same historical period or era of conflict.
-
E.
conflictPeriod
Indicates the time span during which a particular conflict or dispute is occurring or in effect between the related entities.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f8eb248190b50fd539a06a5a62 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 2:59 p.m.