Triple
T10229660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Älmhult Municipality |
E243305
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pjätteryd
Pjätteryd is a small locality in southern Sweden, situated within Älmhult Municipality in Kronoberg County.
|
E851305
|
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: Pjätteryd | Statement: [Älmhult Municipality, contains, Pjätteryd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pjätteryd Context triple: [Älmhult Municipality, contains, Pjätteryd]
-
A.
Skärplinge
Skärplinge is a small locality in Uppsala County, Sweden, known for its rural character and role as a local service center within Tierp Municipality.
-
B.
Pertteli
Pertteli was a former municipality in southwestern Finland that is now part of the city of Salo.
-
C.
Tåsen
Tåsen is a residential neighborhood in Oslo, Norway, known for its quiet streets, green spaces, and proximity to the city center.
-
D.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
-
E.
Närpes
Närpes is a bilingual coastal town and municipality in western Finland known for its greenhouse vegetable production and strong Swedish-speaking heritage.
- 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: Pjätteryd Triple: [Älmhult Municipality, contains, Pjätteryd]
Generated description
Pjätteryd is a small locality in southern Sweden, situated within Älmhult Municipality in Kronoberg County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pjätteryd Target entity description: Pjätteryd is a small locality in southern Sweden, situated within Älmhult Municipality in Kronoberg County.
-
A.
Skärplinge
Skärplinge is a small locality in Uppsala County, Sweden, known for its rural character and role as a local service center within Tierp Municipality.
-
B.
Pertteli
Pertteli was a former municipality in southwestern Finland that is now part of the city of Salo.
-
C.
Tåsen
Tåsen is a residential neighborhood in Oslo, Norway, known for its quiet streets, green spaces, and proximity to the city center.
-
D.
Stäket
Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
-
E.
Närpes
Närpes is a bilingual coastal town and municipality in western Finland known for its greenhouse vegetable production and strong Swedish-speaking heritage.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fa2ea97081908395048218c0592b |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcb5dc4c8190944a423a9d16a4b8 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:19 a.m.