Triple
T5563055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mischabel group |
E145810
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nadelgrat |
E164505
|
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: Nadelgrat | Statement: [Mischabel group, contains, Nadelgrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadelgrat Context triple: [Mischabel group, contains, Nadelgrat]
-
A.
Goûter Needle
Goûter Needle is a prominent granite peak in the Mont Blanc massif of the French Alps, known as a key point on the normal route to the summit of Mont Blanc.
-
B.
Nadelhorn
chosen
Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
-
C.
Krumnagel
Krumnagel is a lesser-known work by Peter Ustinov, reflecting his multifaceted career as a writer alongside his fame as an actor and director.
-
D.
Schaumainkai
Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
-
E.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201ba0e88190acd5bfaa5973f2d8 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d0ca0088190a5d63139ba194e8e |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:36 p.m.