Triple
T35520187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlacht bei Hastenbeck |
E1026530
|
entity |
| Predicate | Konfliktpartei |
P183199
|
FINISHED |
| Object | Frankreich |
—
|
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: Frankreich | Statement: [Schlacht bei Hastenbeck, Konfliktpartei, Frankreich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Konfliktpartei Context triple: [Schlacht bei Hastenbeck, Konfliktpartei, Frankreich]
-
A.
AngreifendePartei
Indicates a party that initiates or carries out an attack against another party.
-
B.
opposingPoliticalFaction
Indicates that two entities belong to political groups or factions that are in conflict or opposition to each other.
-
C.
VerteidigendePartei
Indicates that an entity functions as the defending party in a legal dispute or proceeding.
-
D.
majorPartyInLosingCoalition
Indicates that a major political party is a member of a coalition that ultimately loses (e.g., an election, vote, or contest for power).
-
E.
حزب
Indicates a political party affiliation or association between an entity and a specific party.
- 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_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. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.