Triple
T9262819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köterberg |
E222618
|
entity |
| Predicate | hasSummitBuilding |
P27847
|
FINISHED |
| Object | Köterberg mountain inn |
E222618
|
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: Köterberg mountain inn | Statement: [Köterberg, hasSummitBuilding, Köterberg mountain inn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köterberg mountain inn Context triple: [Köterberg, hasSummitBuilding, Köterberg mountain inn]
-
A.
Köterberg
chosen
Köterberg is a prominent hill in northern Germany known for its panoramic views and popularity among hikers and motorcyclists.
-
B.
Erbdrostenhof
Erbdrostenhof is an 18th-century Baroque palace in Münster, Germany, renowned for its ornate architecture and historical significance.
-
C.
Stüdlhütte
Stüdlhütte is a high-altitude alpine hut in the Austrian Alps that serves as a popular base for climbers ascending Grossglockner.
-
D.
Rothornhütte
Rothornhütte is a high-altitude Swiss Alpine Club mountain hut in the Pennine Alps that serves as a popular base for climbers and hikers in the Zermatt region.
-
E.
Schlossberg
Schlossberg is a historic hill in Graz, Austria, known for its fortress ruins, iconic clock tower, and panoramic views over the city.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07189bc48190987315bd5d3ce4f1 |
completed | April 1, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c0526c48190aae93a70cfe5562c |
completed | April 4, 2026, 5:05 a.m. |
Created at: March 30, 2026, 7:32 p.m.