Triple
T20050978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meldal |
E499195
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Storås
Storås is a small village in Trøndelag county, Norway, known for its rural setting and local community within the former municipality of Meldal.
|
E1422163
|
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: Storås | Statement: [Meldal, contains, Storås]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storås Context triple: [Meldal, contains, Storås]
-
A.
Storå
Storå is a small coastal settlement located on the shores of the fjord in the former municipality of Tysfjord in Nordland county, Norway.
-
B.
Storå
Storå is a river in western Jutland, Denmark, known for flowing through the town of Holstebro and contributing to the region’s natural and cultural landscape.
-
C.
Storgalten
Storgalten is a prominent mountain peak in Norway’s Lyngen Alps, known for its striking alpine scenery and challenging ski touring routes.
-
D.
Meråker
Meråker is a mountainous municipality in Trøndelag county, Norway, known for its outdoor recreation, skiing facilities, and proximity to the Swedish border.
-
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: Storås Triple: [Meldal, contains, Storås]
Generated description
Storås is a small village in Trøndelag county, Norway, known for its rural setting and local community within the former municipality of Meldal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storås Target entity description: Storås is a small village in Trøndelag county, Norway, known for its rural setting and local community within the former municipality of Meldal.
-
A.
Storå
Storå is a small coastal settlement located on the shores of the fjord in the former municipality of Tysfjord in Nordland county, Norway.
-
B.
Storå
Storå is a river in western Jutland, Denmark, known for flowing through the town of Holstebro and contributing to the region’s natural and cultural landscape.
-
C.
Storgalten
Storgalten is a prominent mountain peak in Norway’s Lyngen Alps, known for its striking alpine scenery and challenging ski touring routes.
-
D.
Meråker
Meråker is a mountainous municipality in Trøndelag county, Norway, known for its outdoor recreation, skiing facilities, and proximity to the Swedish border.
-
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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632d9d888190b0985bb5ed989311 |
completed | April 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a085a0cc52c8190ac27180a9d86bba7 |
completed | May 16, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a085ac5b5f4819083c4d12e9cabc758 |
completed | May 16, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a085bc0781c81909fc53a83291badc0 |
completed | May 16, 2026, 11:57 a.m. |
Created at: April 11, 2026, 3:38 p.m.