Triple
T23130985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holtålen |
E577166
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object |
Tydal
Tydal is a sparsely populated mountain municipality in Trøndelag county, Norway, known for its natural landscapes, outdoor recreation, and hydropower resources.
|
E1573010
|
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: Tydal | Statement: [Holtålen, bordersWith, Tydal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tydal Context triple: [Holtålen, bordersWith, Tydal]
-
A.
Norddal
Norddal is a small village and former municipality in Møre og Romsdal county in western Norway, situated in the Sunnmøre region.
-
B.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
-
C.
Ingdal
Ingdal is a small rural settlement in the municipality of Agdenes in Trøndelag county, central Norway.
-
D.
Hjartdal
Hjartdal is a rural municipality in Vestfold og Telemark county, Norway, known for its mountainous landscape, traditional farming communities, and historic stave church.
-
E.
Henriksdal
Henriksdal is a residential and waterfront district in the Sicklaön area of Nacka Municipality, just east of central Stockholm, Sweden.
- 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: Tydal Triple: [Holtålen, bordersWith, Tydal]
Generated description
Tydal is a sparsely populated mountain municipality in Trøndelag county, Norway, known for its natural landscapes, outdoor recreation, and hydropower resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tydal Target entity description: Tydal is a sparsely populated mountain municipality in Trøndelag county, Norway, known for its natural landscapes, outdoor recreation, and hydropower resources.
-
A.
Norddal
Norddal is a small village and former municipality in Møre og Romsdal county in western Norway, situated in the Sunnmøre region.
-
B.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
-
C.
Ingdal
Ingdal is a small rural settlement in the municipality of Agdenes in Trøndelag county, central Norway.
-
D.
Hjartdal
Hjartdal is a rural municipality in Vestfold og Telemark county, Norway, known for its mountainous landscape, traditional farming communities, and historic stave church.
-
E.
Henriksdal
Henriksdal is a residential and waterfront district in the Sicklaön area of Nacka Municipality, just east of central Stockholm, Sweden.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e87cd188190b466f7a4c9670e56 |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30872b5c81909433a0e3c9e3af00 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c31f385a881908283a8b079c4128a |
completed | May 19, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c32ece3148190a22881d69c42e948 |
completed | May 19, 2026, 9:52 a.m. |
Created at: April 17, 2026, 4 p.m.