Triple
T5809543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm archipelago islands |
E128833
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Möja
Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
|
E547984
|
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: Möja | Statement: [Stockholm archipelago islands, hasIsland, Möja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Möja Context triple: [Stockholm archipelago islands, hasIsland, Möja]
-
A.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Mörby
Mörby is a locality in the Stockholm area of Sweden served by a station on the Roslagsbanan narrow-gauge railway line.
-
D.
Moberg
Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
-
E.
Maja
Maja was the younger sister of physicist Albert Einstein, known for her close relationship with him and her background in literature and languages.
- 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: Möja Triple: [Stockholm archipelago islands, hasIsland, Möja]
Generated description
Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Möja Target entity description: Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
-
A.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
B.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
C.
Mörby
Mörby is a locality in the Stockholm area of Sweden served by a station on the Roslagsbanan narrow-gauge railway line.
-
D.
Moberg
Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
-
E.
Maja
Maja was the younger sister of physicist Albert Einstein, known for her close relationship with him and her background in literature and languages.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098416504819089356b68fabdf737 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098f465cc819088241200306bd273 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099770ca88190a91815ec055f6df8 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:52 p.m.