Triple
T13798461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stange municipality |
E331576
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Ilseng
Ilseng is a small village in Innlandet county, Norway, known for its rural setting and proximity to the town of Hamar.
|
E1061831
|
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: Ilseng | Statement: [Stange municipality, hasSettlement, Ilseng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilseng Context triple: [Stange municipality, hasSettlement, Ilseng]
-
A.
Tongrinne
Tongrinne is a village in the Walloon region of Belgium that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur.
-
B.
Ulsrud
Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
-
C.
Brynseng
Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
-
D.
Oltedal
Oltedal is a small village in Rogaland county, Norway, known for its scenic surroundings and role as a local residential and industrial community within Gjesdal municipality.
-
E.
Harestua
Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
- 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: Ilseng Triple: [Stange municipality, hasSettlement, Ilseng]
Generated description
Ilseng is a small village in Innlandet county, Norway, known for its rural setting and proximity to the town of Hamar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilseng Target entity description: Ilseng is a small village in Innlandet county, Norway, known for its rural setting and proximity to the town of Hamar.
-
A.
Tongrinne
Tongrinne is a village in the Walloon region of Belgium that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur.
-
B.
Ulsrud
Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
-
C.
Brynseng
Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
-
D.
Oltedal
Oltedal is a small village in Rogaland county, Norway, known for its scenic surroundings and role as a local residential and industrial community within Gjesdal municipality.
-
E.
Harestua
Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b138158c8190957d43d529c37fa4 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b1e0ab948190a046a68aa5e029a6 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:11 p.m.