Triple
T15360443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haram |
E367274
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Vatne
Vatne is a village in Norway that forms part of the former municipality of Haram in Møre og Romsdal county.
|
E1160393
|
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: Vatne | Statement: [Haram, containsSettlement, Vatne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vatne Context triple: [Haram, containsSettlement, Vatne]
-
A.
Kvernes
Kvernes is a village and historic parish area in Averøy Municipality in Møre og Romsdal county, Norway, known for its cultural heritage and scenic coastal landscape.
-
B.
Vesle
The Vesle is a river in northeastern France that flows through the Champagne region and was a significant geographic feature during World War I battles.
-
C.
Flåvatn
Flåvatn is a lake in Telemark, Norway, forming part of the Telemark Canal waterway system.
-
D.
Nøklevann
Nøklevann is a freshwater lake in the Østmarka forest area of Oslo, Norway, popular for outdoor recreation such as swimming, hiking, and fishing.
-
E.
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
- 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: Vatne Triple: [Haram, containsSettlement, Vatne]
Generated description
Vatne is a village in Norway that forms part of the former municipality of Haram in Møre og Romsdal county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vatne Target entity description: Vatne is a village in Norway that forms part of the former municipality of Haram in Møre og Romsdal county.
-
A.
Kvernes
Kvernes is a village and historic parish area in Averøy Municipality in Møre og Romsdal county, Norway, known for its cultural heritage and scenic coastal landscape.
-
B.
Vesle
The Vesle is a river in northeastern France that flows through the Champagne region and was a significant geographic feature during World War I battles.
-
C.
Flåvatn
Flåvatn is a lake in Telemark, Norway, forming part of the Telemark Canal waterway system.
-
D.
Nøklevann
Nøklevann is a freshwater lake in the Østmarka forest area of Oslo, Norway, popular for outdoor recreation such as swimming, hiking, and fishing.
-
E.
Sognsvann
Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff364d82c48190b116528b5c00e918 |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff37871dfc8190892d22ff66515c0b |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff384962f88190964fc040a2a44aa8 |
completed | May 9, 2026, 1:36 p.m. |
Created at: April 10, 2026, 3:18 a.m.