Triple
T35520206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlacht bei Hastenbeck |
E1026530
|
entity |
| Predicate | TeilDerKampagne |
P2543
|
FINISHED |
| Object | französischer Feldzug in Westdeutschland 1757 |
—
|
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: französischer Feldzug in Westdeutschland 1757 | Statement: [Schlacht bei Hastenbeck, TeilDerKampagne, französischer Feldzug in Westdeutschland 1757]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TeilDerKampagne Context triple: [Schlacht bei Hastenbeck, TeilDerKampagne, französischer Feldzug in Westdeutschland 1757]
-
A.
partOfCampaign
chosen
Indicates that an entity participates in, belongs to, or is included within a specific campaign.
-
B.
continuedCampaignsOf
Indicates that one campaign is a direct continuation or follow-up of another campaign, extending its efforts or objectives over time.
-
C.
airedDuringCampaignOf
Indicates that something (such as a message, advertisement, or program) was broadcast within the time period of a particular campaign.
-
D.
حمله
Indicates an aggressive action in which one entity attacks, assaults, or launches an offensive against another.
-
E.
supportedCampaignOf
Indicates that one entity actively backed, promoted, or provided assistance to the campaign associated with another entity.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.