Triple
T19511690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Eckmühl |
E488170
|
entity |
| Predicate | associatedBattleDate |
P19740
|
FINISHED |
| Object | 1809-04-22 |
—
|
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: 1809-04-22 | Statement: [Prince of Eckmühl, associatedBattleDate, 1809-04-22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBattleDate Context triple: [Prince of Eckmühl, associatedBattleDate, 1809-04-22]
-
A.
battleDateRelation
chosen
Indicates the temporal relationship specifying on which date a particular battle or combat event took place.
-
B.
battleOccurredOn
Indicates that a specific battle took place at or on a particular location or date.
-
C.
battleDateRange
Indicates the time span during which a particular battle or military engagement took place.
-
D.
dateOfConflict
Indicates the specific date or time period when a particular conflict, battle, or hostilities took place.
-
E.
battleWasPartOf
Indicates that a specific battle occurred as a component or phase within a larger military campaign, war, or conflict.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359908fc8190bd05f26d4271d268 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.