Triple
T35520179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlacht bei Hastenbeck |
E1026530
|
entity |
| Predicate | französischerName |
P6538
|
FINISHED |
| Object | Bataille de Hastenbeck |
—
|
NE NERFINISHED |
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: Bataille de Hastenbeck | Statement: [Schlacht bei Hastenbeck, französischerName, Bataille de Hastenbeck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: französischerName Context triple: [Schlacht bei Hastenbeck, französischerName, Bataille de Hastenbeck]
-
A.
nameInFrench
chosen
Indicates that an entity is known or referred to by a specific name expressed in the French language.
-
B.
hasOfficialFrenchName
Indicates that an entity possesses an officially recognized name in the French language.
-
C.
hasFranconianName
Indicates that an entity is associated with a name or designation in the Franconian language or dialect.
-
D.
monarchOfFrenchSide
Indicates that one entity serves as the ruling monarch over the French side or faction in a given context or domain.
-
E.
lastCapetianKingOfFrance
Indicates that the subject is the final monarch of France belonging to the Capetian royal dynasty.
- 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.