Triple
T22749215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melhus |
E562643
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ler
Ler is a small village in Melhus municipality in Trøndelag county, central Norway.
|
E1551426
|
NE FINISHED |
How this triple was built (4 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: Ler | Statement: [Melhus, hasSettlement, Ler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ler Context triple: [Melhus, hasSettlement, Ler]
-
A.
Leer
Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
-
B.
LER
LER is the vehicle registration code assigned to the German island municipality of Borkum.
-
C.
LER
LER is the abbreviation for The Loyal Eddies, a group or organization likely centered around shared loyalty or fandom, often in a sports or community context.
-
D.
LER
LER is the National Rail station code for Leytonstone High Road railway station in London.
-
E.
Lees
Lees is the surname of Andrea Leeds, an American film actress prominent in the 1930s and 1940s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ler Triple: [Melhus, hasSettlement, Ler]
Generated description
Ler is a small village in Melhus municipality in Trøndelag county, central Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ler Target entity description: Ler is a small village in Melhus municipality in Trøndelag county, central Norway.
-
A.
Leer
Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
-
B.
LER
LER is the vehicle registration code assigned to the German island municipality of Borkum.
-
C.
LER
LER is the abbreviation for The Loyal Eddies, a group or organization likely centered around shared loyalty or fandom, often in a sports or community context.
-
D.
LER
LER is the National Rail station code for Leytonstone High Road railway station in London.
-
E.
Lees
Lees is the surname of Andrea Leeds, an American film actress prominent in the 1930s and 1940s.
- F. None of above. chosen
Provenance (5 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b822988190b5368ac1f4e1d70a |
completed | April 29, 2026, 3:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fd5c05c819091c2871dc9e4e9ca |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b90addad481909a69601ed3d50622 |
completed | May 18, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9118ebd48190adf5e7fd47408dc7 |
completed | May 18, 2026, 10:22 p.m. |
Created at: April 17, 2026, 3:24 p.m.