Triple
T7001736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Lucerne |
E162352
|
entity |
| Predicate | inflow |
P415
|
FINISHED |
| Object | Muota |
E551661
|
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: Muota | Statement: [Lake Lucerne, inflow, Muota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muota Context triple: [Lake Lucerne, inflow, Muota]
-
A.
Muota
chosen
Muota is a river in central Switzerland that flows through the canton of Schwyz before joining the Reuss.
-
B.
Mutso
Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
-
C.
Muonio
Muonio is a small municipality in Finnish Lapland known for its Arctic landscapes, outdoor tourism, and proximity to the Swedish border.
-
D.
Muolaa
Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
-
E.
Moukari
Moukari is a Finnish amateur radio callsign holder, identified by the callsign K9FIN Moukari.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.