Triple
T18194328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Härryda Municipality |
E435617
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Mölnlycke
Mölnlycke is a locality in western Sweden that serves as the administrative and commercial center of Härryda Municipality in Västra Götaland County.
|
E1311275
|
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: Mölnlycke | Statement: [Härryda Municipality, seat, Mölnlycke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mölnlycke Context triple: [Härryda Municipality, seat, Mölnlycke]
-
A.
Landskrona
Landskrona is a coastal town in southern Sweden known for its historic fortifications, harbor, and role in regional conflicts between Denmark and Sweden.
-
B.
Häggenås
Häggenås is a small locality in Jämtland County, northern Sweden, situated within Östersund Municipality.
-
C.
Tingsryd
Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
-
D.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
E.
Hammarsten-Jansson
Hammarsten-Jansson is a Swedish family name most notably associated with illustrator Signe Hammarsten-Jansson and her daughter, the author and artist Tove Jansson.
- 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: Mölnlycke Triple: [Härryda Municipality, seat, Mölnlycke]
Generated description
Mölnlycke is a locality in western Sweden that serves as the administrative and commercial center of Härryda Municipality in Västra Götaland County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mölnlycke Target entity description: Mölnlycke is a locality in western Sweden that serves as the administrative and commercial center of Härryda Municipality in Västra Götaland County.
-
A.
Landskrona
Landskrona is a coastal town in southern Sweden known for its historic fortifications, harbor, and role in regional conflicts between Denmark and Sweden.
-
B.
Häggenås
Häggenås is a small locality in Jämtland County, northern Sweden, situated within Östersund Municipality.
-
C.
Tingsryd
Tingsryd is a small locality and municipality in southern Sweden known for its rural landscapes, lakes, and traditional Swedish countryside character.
-
D.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
E.
Hammarsten-Jansson
Hammarsten-Jansson is a Swedish family name most notably associated with illustrator Signe Hammarsten-Jansson and her daughter, the author and artist Tove Jansson.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980b347c819095efe75ae5ceeebb |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0399521adc81908b3496c0168afe5d |
completed | May 12, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a1d66c081908ee33c6d503b0dad |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.