Triple
T35520200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlacht bei Hastenbeck |
E1026530
|
entity |
| Predicate | Waffengattung |
P16410
|
FINISHED |
| Object | Infanterie |
—
|
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: Infanterie | Statement: [Schlacht bei Hastenbeck, Waffengattung, Infanterie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Waffengattung Context triple: [Schlacht bei Hastenbeck, Waffengattung, Infanterie]
-
A.
weaponCategory
chosen
Indicates the classification or type of weapon to which an item or armament belongs.
-
B.
weaponFamily
Indicates that two weapons belong to the same broader classification or type group based on shared characteristics or lineage.
-
C.
gunType
Indicates the specific category or kind of gun associated with an entity.
-
D.
weaponDepicted
Indicates that a weapon is visually represented or shown in association with an entity.
-
E.
armamentCategory
Indicates the classification of a weapon or military equipment according to its type or role in armament systems.
- 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.