Triple
T21807742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmaboda Municipality |
E538390
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Eriksmåla
Eriksmåla is a small locality in southern Sweden, situated in Kalmar County within Emmaboda Municipality.
|
E1502293
|
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: Eriksmåla | Statement: [Emmaboda Municipality, hasSettlement, Eriksmåla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eriksmåla Context triple: [Emmaboda Municipality, hasSettlement, Eriksmåla]
-
A.
Byrkjelo
Byrkjelo is a small village in Vestland county, Norway, known for its scenic valley setting and as a local transport and agricultural hub between major fjord and inland areas.
-
B.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
C.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
-
D.
Hasselvika
Hasselvika is a small coastal village in the former Agdenes municipality in Trøndelag county, central Norway.
-
E.
Meråker
Meråker is a mountainous municipality in Trøndelag county, Norway, known for its outdoor recreation, skiing facilities, and proximity to the Swedish border.
- 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: Eriksmåla Triple: [Emmaboda Municipality, hasSettlement, Eriksmåla]
Generated description
Eriksmåla is a small locality in southern Sweden, situated in Kalmar County within Emmaboda Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eriksmåla Target entity description: Eriksmåla is a small locality in southern Sweden, situated in Kalmar County within Emmaboda Municipality.
-
A.
Byrkjelo
Byrkjelo is a small village in Vestland county, Norway, known for its scenic valley setting and as a local transport and agricultural hub between major fjord and inland areas.
-
B.
Bekkestua
Bekkestua is a suburban center in Bærum, Norway, functioning as a local commercial and transport hub just west of Oslo.
-
C.
Tyssedal
Tyssedal is a small industrial village in Vestland county, Norway, known for its historic hydropower facilities and scenic location by the Sørfjorden.
-
D.
Hasselvika
Hasselvika is a small coastal village in the former Agdenes municipality in Trøndelag county, central Norway.
-
E.
Meråker
Meråker is a mountainous municipality in Trøndelag county, Norway, known for its outdoor recreation, skiing facilities, and proximity to the Swedish border.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f078047ca88190a0efa4bc7f2faf80 |
completed | April 28, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e86d8ec81908c8a5a63903e44a4 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f4358d48190a88208a55d19a9ef |
completed | May 17, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a404206e0819080c640619cd277ab |
completed | May 17, 2026, 10:25 p.m. |
Created at: April 16, 2026, 6:53 p.m.