Triple
T29764158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Flügel |
E753858
|
entity |
| Predicate | activeWithin |
P177340
|
FINISHED |
| Object | Alternative for Germany |
—
|
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: Alternative for Germany | Statement: [Der Flügel, activeWithin, Alternative for Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeWithin Context triple: [Der Flügel, activeWithin, Alternative for Germany]
-
A.
activeWith
Indicates that an entity is currently engaged in or functioning together with another specified entity.
-
B.
activeAround
Indicates that an entity is performing actions or exhibiting activity in the vicinity of another entity or location.
-
C.
activeAt
Indicates that an entity is functioning, valid, or in effect during a specified time or at a particular location or context.
-
D.
activeAs
Indicates that an entity is currently functioning or serving in a particular role, capacity, or status.
-
E.
activeFrom
Indicates the starting point in time from which an entity or relationship is considered active or in effect.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 28, 2026, 8:36 p.m.