Triple
T17988680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberaudorf |
E430308
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object |
Hocheck
Hocheck is a mountain in the Bavarian Alps near Oberaudorf, Germany, known for its hiking and skiing opportunities.
|
E1300400
|
NE FINISHED |
How this triple was built (4 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: Hocheck | Statement: [Oberaudorf, hasMountain, Hocheck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hocheck Context triple: [Oberaudorf, hasMountain, Hocheck]
-
A.
Haditch
Haditch is a village in Ukraine best known as the burial site and pilgrimage destination associated with Rabbi Shneur Zalman of Liadi, the founder of Chabad Hasidism.
-
B.
Heton
Heton is an alternative spelling of the English surname Heaton, which is derived from various place names meaning "high town" or "farm on a hill."
-
C.
Schleprock
Schleprock is a perpetually gloomy, bad-luck-bringing character from the Flintstones universe, best known for his catchphrase “Wowzie wow wow.”
-
D.
Hoëdic
Hoëdic is a small, sparsely populated island off the coast of Brittany in northwestern France, known for its unspoiled natural landscapes and traditional fishing heritage.
-
E.
Monhardt
Monhardt is a small village and district of the town of Altensteig in the Black Forest region of Baden-Württemberg, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hocheck Triple: [Oberaudorf, hasMountain, Hocheck]
Generated description
Hocheck is a mountain in the Bavarian Alps near Oberaudorf, Germany, known for its hiking and skiing opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hocheck Target entity description: Hocheck is a mountain in the Bavarian Alps near Oberaudorf, Germany, known for its hiking and skiing opportunities.
-
A.
Haditch
Haditch is a village in Ukraine best known as the burial site and pilgrimage destination associated with Rabbi Shneur Zalman of Liadi, the founder of Chabad Hasidism.
-
B.
Heton
Heton is an alternative spelling of the English surname Heaton, which is derived from various place names meaning "high town" or "farm on a hill."
-
C.
Schleprock
Schleprock is a perpetually gloomy, bad-luck-bringing character from the Flintstones universe, best known for his catchphrase “Wowzie wow wow.”
-
D.
Hoëdic
Hoëdic is a small, sparsely populated island off the coast of Brittany in northwestern France, known for its unspoiled natural landscapes and traditional fishing heritage.
-
E.
Monhardt
Monhardt is a small village and district of the town of Altensteig in the Black Forest region of Baden-Württemberg, Germany.
- F. None of above. chosen
Provenance (5 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29d3ad4819096c2600aa2a99f21 |
completed | April 19, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337aae0d08190aef6a30f3a10eefc |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033ca6a2608190a391694153070cc8 |
completed | May 12, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033d6bf3f48190ac141febc04608f6 |
completed | May 12, 2026, 2:47 p.m. |
Created at: April 10, 2026, 10:23 a.m.