Triple
T20071470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haydn |
E499748
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Heiden |
—
|
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: Heiden | Statement: [Haydn, hasSpellingVariant, Heiden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heiden Context triple: [Haydn, hasSpellingVariant, Heiden]
-
A.
Heiden
Heiden is a municipality in the Swiss canton of Appenzell Ausserrhoden, known as the place where Red Cross founder Henry Dunant spent his final years and died.
-
B.
Heiden
Heiden is a municipality in the Borken district of North Rhine-Westphalia in western Germany, known for its rural character and local cultural traditions.
-
C.
Heiden
Heiden is the central hall of worship within Japan’s Itsukushima Shrine, used for Shinto religious ceremonies and offerings.
-
D.
Heiden
chosen
Heiden is a German surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66438633481908710907c48806499 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.