Triple
T10815425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heunisch Weiss |
E255216
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Heunisch |
E255216
|
NE 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: Heunisch | Statement: [Heunisch Weiss, alsoKnownAs, Heunisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heunisch Context triple: [Heunisch Weiss, alsoKnownAs, Heunisch]
-
A.
Heunisch Weiss
chosen
Heunisch Weiss is an ancient European white grape variety historically important as a parent of many classic wine grapes, including Chardonnay and Riesling.
-
B.
Heil
Heil is a former municipality in Germany that was incorporated into the town of Bergkamen through an administrative merger.
-
C.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
D.
Hansi
Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
-
E.
Weihmichl
Weihmichl is a small municipality in Lower Bavaria, Germany, known for its rural character and proximity to the city of Landshut.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733edab248190b2cf7f7bc2684468 |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8546b41081909e13152c4df2eb1c |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.