Triple
T15014336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molde Municipality |
E377918
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sekken
Sekken is an island in Møre og Romsdal county, Norway, situated in the Romsdalsfjord and known for its scenic landscapes and small rural community.
|
E1132480
|
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: Sekken | Statement: [Molde Municipality, contains, Sekken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sekken Context triple: [Molde Municipality, contains, Sekken]
-
A.
Senzoku
Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
-
B.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
C.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
D.
Shubunka
Shubunka is a ruthless small-time racketeer and the central antihero of the 1947 film noir "The Gangster."
-
E.
Tenazuchi
Tenazuchi is a figure from Japanese mythology known as the father of the goddess Kushinadahime, who appears in the legend of the storm god Susanoo.
- 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: Sekken Triple: [Molde Municipality, contains, Sekken]
Generated description
Sekken is an island in Møre og Romsdal county, Norway, situated in the Romsdalsfjord and known for its scenic landscapes and small rural community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sekken Target entity description: Sekken is an island in Møre og Romsdal county, Norway, situated in the Romsdalsfjord and known for its scenic landscapes and small rural community.
-
A.
Senzoku
Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
-
B.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
C.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
D.
Shubunka
Shubunka is a ruthless small-time racketeer and the central antihero of the 1947 film noir "The Gangster."
-
E.
Tenazuchi
Tenazuchi is a figure from Japanese mythology known as the father of the goddess Kushinadahime, who appears in the legend of the storm god Susanoo.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7623c3c819092ca36b358b01842 |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96aa3c888190a65e7b3c3b130131 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97af0a0c8190bca3ea103d05fd99 |
completed | May 9, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe98b18ab48190b2a47418904e6643 |
completed | May 9, 2026, 2:15 a.m. |
Created at: April 10, 2026, 2:55 a.m.