Triple
T20288310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zillertal Alps |
E509948
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Hochfeiler
Hochfeiler is a prominent mountain on the Austria–Italy border in the Zillertal Alps, renowned among alpinists for its glaciated summit and panoramic views.
|
E1422345
|
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: Hochfeiler | Statement: [Zillertal Alps, highestPoint, Hochfeiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hochfeiler Context triple: [Zillertal Alps, highestPoint, Hochfeiler]
-
A.
Hohe Acht
Hohe Acht is the highest peak in Germany’s Eifel region, known for its volcanic origins and panoramic views.
-
B.
Böllen
Böllen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
-
C.
Bad Breisig
Bad Breisig is a small spa town on the Rhine River in western Germany, known for its thermal baths and scenic riverside setting.
-
D.
Heckerling
Heckerling is the surname of American film director and screenwriter Amy Heckerling, known for works like "Fast Times at Ridgemont High" and "Clueless."
-
E.
Hufschlag
Hufschlag is a small district of Traunstein in Bavaria, Germany, known as part of the rural setting where Pope Benedict XVI (Joseph Ratzinger) spent part of his childhood.
- 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: Hochfeiler Triple: [Zillertal Alps, highestPoint, Hochfeiler]
Generated description
Hochfeiler is a prominent mountain on the Austria–Italy border in the Zillertal Alps, renowned among alpinists for its glaciated summit and panoramic views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hochfeiler Target entity description: Hochfeiler is a prominent mountain on the Austria–Italy border in the Zillertal Alps, renowned among alpinists for its glaciated summit and panoramic views.
-
A.
Hohe Acht
Hohe Acht is the highest peak in Germany’s Eifel region, known for its volcanic origins and panoramic views.
-
B.
Böllen
Böllen is a small municipality in the district of Lörrach in the state of Baden-Württemberg in southwestern Germany.
-
C.
Bad Breisig
Bad Breisig is a small spa town on the Rhine River in western Germany, known for its thermal baths and scenic riverside setting.
-
D.
Heckerling
Heckerling is the surname of American film director and screenwriter Amy Heckerling, known for works like "Fast Times at Ridgemont High" and "Clueless."
-
E.
Hufschlag
Hufschlag is a small district of Traunstein in Bavaria, Germany, known as part of the rural setting where Pope Benedict XVI (Joseph Ratzinger) spent part of his childhood.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6769414488190b38e07fd1e989aba |
completed | April 20, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a2bbcc8819092432b45bebafde6 |
completed | May 16, 2026, 11:51 a.m. |
| NEDg | Description generation | batch_6a085ac5b5f4819083c4d12e9cabc758 |
completed | May 16, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085bc0781c81909fc53a83291badc0 |
completed | May 16, 2026, 11:57 a.m. |
Created at: April 16, 2026, 11:09 a.m.