Triple
T3552065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punta Gnifetti |
E75132
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Signalkuppe |
E360788
|
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: Signalkuppe | Statement: [Punta Gnifetti, hasGermanName, Signalkuppe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Signalkuppe Context triple: [Punta Gnifetti, hasGermanName, Signalkuppe]
-
A.
Signalkuppe
chosen
Signalkuppe is a prominent peak in the Pennine Alps on the border between Italy and Switzerland, known for hosting the high-altitude Capanna Regina Margherita hut near its summit.
-
B.
Brocken
Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
-
C.
Hoche
Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
-
D.
Fürth Hardhöhe
Fürth Hardhöhe is a station in the city of Fürth that serves as the western terminus of a line on the Nuremberg U-Bahn rapid transit system.
-
E.
Mount Klabat
Mount Klabat is a stratovolcano and the highest peak in North Sulawesi, Indonesia, known for its crater lake and popular hiking routes.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05256f081908b8d6a5df917e679 |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bec437c8190b35ca77dc19d441d |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.