Triple
T23436655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predigtstuhl |
E563480
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Lattengebirge |
—
|
NE NERFINISHED |
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: Lattengebirge | Statement: [Predigtstuhl, partOf, Lattengebirge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lattengebirge Context triple: [Predigtstuhl, partOf, Lattengebirge]
-
A.
Lattengebirge
chosen
Lattengebirge is a small mountain range in the Bavarian Alps of southeastern Germany, known for its distinctive rock formations and scenic hiking trails.
-
B.
An tAonach
An tAonach is the Irish-language name for the town of Nenagh in County Tipperary, Ireland.
-
C.
Wohlthat Mountains
The Wohlthat Mountains are a major mountain range in Queen Maud Land, East Antarctica, known for their extensive nunataks and rugged peaks rising above the Antarctic ice sheet.
-
D.
Berge
Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
-
E.
Eğil Dağlar
Eğil Dağlar is a celebrated poetry collection by Turkish poet Yahya Kemal Beyatlı, known for its lyrical reflections on history, homeland, and nostalgia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dcd4608190a543cc747e0daab8 |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:50 p.m.