Triple
T19198109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agdenes |
E470024
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Selbekken
Selbekken is a small village that serves as the administrative center of the former municipality of Agdenes in Trøndelag county, Norway.
|
E1371954
|
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: Selbekken | Statement: [Agdenes, hasCapital, Selbekken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selbekken Context triple: [Agdenes, hasCapital, Selbekken]
-
A.
Sætervika
Sætervika is a small coastal village in the municipality of Osen in Trøndelag county, Norway.
-
B.
Steinkjerelva
Steinkjerelva is a river in Trøndelag county, Norway, that flows through the town of Steinkjer before emptying into the inner part of the Trondheimsfjord.
-
C.
Steinsdalselva
Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
-
D.
Verdalselva
Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
-
E.
Vesleåe
Vesleåe is a small river in Norway that serves as one of the tributaries feeding the mountain lake Gjende in Jotunheimen.
- 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: Selbekken Triple: [Agdenes, hasCapital, Selbekken]
Generated description
Selbekken is a small village that serves as the administrative center of the former municipality of Agdenes in Trøndelag county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selbekken Target entity description: Selbekken is a small village that serves as the administrative center of the former municipality of Agdenes in Trøndelag county, Norway.
-
A.
Sætervika
Sætervika is a small coastal village in the municipality of Osen in Trøndelag county, Norway.
-
B.
Steinkjerelva
Steinkjerelva is a river in Trøndelag county, Norway, that flows through the town of Steinkjer before emptying into the inner part of the Trondheimsfjord.
-
C.
Steinsdalselva
Steinsdalselva is a river in the municipality of Kvam in Vestland county, western Norway, known for flowing through a scenic valley landscape.
-
D.
Verdalselva
Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
-
E.
Vesleåe
Vesleåe is a small river in Norway that serves as one of the tributaries feeding the mountain lake Gjende in Jotunheimen.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a8daac8190b3558a1388596fb0 |
completed | April 20, 2026, 9:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0723f71eb8819094b9fc3c74dfe395 |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a0724dcdb3c81909272610a5427bbfb |
completed | May 15, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0726a79b308190a584bc808f4b2faa |
completed | May 15, 2026, 1:59 p.m. |
Created at: April 10, 2026, 12:07 p.m.