Triple
T19507787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meråker |
E488069
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Feren
Feren is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
|
E1380047
|
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: Feren | Statement: [Meråker, hasLake, Feren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feren Context triple: [Meråker, hasLake, Feren]
-
A.
Ferla
Ferla is a small historic town in southeastern Sicily, Italy, known as a gateway to the UNESCO-listed Pantalica archaeological area and its surrounding natural landscapes.
-
B.
F'nor
F'nor is a central dragonrider character in Anne McCaffrey's Dragonriders of Pern series, known for his courage, loyalty, and partnership with the brown dragon Canth.
-
C.
Neytiri
Neytiri is a skilled Na'vi warrior and princess of the Omaticaya clan who becomes Jake Sully's guide and love interest in the film "Avatar."
-
D.
Fregosi
Fregosi is an Italian-origin surname most notably associated with former Major League Baseball player and manager Jim Fregosi.
-
E.
Marella
Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
- 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: Feren Triple: [Meråker, hasLake, Feren]
Generated description
Feren is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Feren Target entity description: Feren is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
-
A.
Ferla
Ferla is a small historic town in southeastern Sicily, Italy, known as a gateway to the UNESCO-listed Pantalica archaeological area and its surrounding natural landscapes.
-
B.
F'nor
F'nor is a central dragonrider character in Anne McCaffrey's Dragonriders of Pern series, known for his courage, loyalty, and partnership with the brown dragon Canth.
-
C.
Neytiri
Neytiri is a skilled Na'vi warrior and princess of the Omaticaya clan who becomes Jake Sully's guide and love interest in the film "Avatar."
-
D.
Fregosi
Fregosi is an Italian-origin surname most notably associated with former Major League Baseball player and manager Jim Fregosi.
-
E.
Marella
Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635130e708190bb3d70e1abbade2a |
completed | April 20, 2026, 2:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07471f5348819087a442025b06f27d |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a07485e2e74819086ab5b5099079c81 |
completed | May 15, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07498d29bc8190bb0eaf903dced2b0 |
completed | May 15, 2026, 4:27 p.m. |
Created at: April 10, 2026, 1:40 p.m.