Triple
T12585687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emme |
E300452
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Grosse Emme |
E551660
|
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: Grosse Emme | Statement: [Emme, hasPart, Grosse Emme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grosse Emme Context triple: [Emme, hasPart, Grosse Emme]
-
A.
Mommens
Mommens is a surname most notably associated with Ursula Mommens, a distinguished British studio potter and ceramic artist.
-
B.
Kleine Emme
chosen
Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
-
C.
Emmi
Emmi is a feminine given name, often used as a variant of names like Emma or Emily in various languages.
-
D.
Mamayi
Mamayi was a powerful 14th-century military and political leader of the Golden Horde who played a central role in its internal power struggles and conflicts with emerging Russian principalities.
-
E.
Elke
Elke is a feminine given name of German origin commonly used in German-speaking countries.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bac9708190ad8f277e7751bf5c |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebcfca8819083c26a3d5f94ccdf |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:04 p.m.