Triple
T1031927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huddinge Municipality |
E22271
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
|
E137379
|
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: Flemingsberg | Statement: [Huddinge Municipality, contains, Flemingsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flemingsberg Context triple: [Huddinge Municipality, contains, Flemingsberg]
-
A.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
B.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
C.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
D.
Järna
Järna is a locality in eastern Sweden known for its strong anthroposophical community, biodynamic farming, and cultural institutions.
-
E.
Bolnes
Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
- 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: Flemingsberg Triple: [Huddinge Municipality, contains, Flemingsberg]
Generated description
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flemingsberg Target entity description: Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
-
A.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
B.
Bergshamra
Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
-
C.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
D.
Järna
Järna is a locality in eastern Sweden known for its strong anthroposophical community, biodynamic farming, and cultural institutions.
-
E.
Bolnes
Bolnes is a Dutch surname most notably associated with Catharina Bolnes, the wife of painter Johannes Vermeer.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b811916481908c05c2dd5ec802ec |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f29385c8190a42dc7dbac592221 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7f69eb448190819e39ef62d0fd81 |
completed | March 7, 2026, 7:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac7fd648948190bc30a14b79bc6dca |
completed | March 7, 2026, 7:43 p.m. |
Created at: March 1, 2026, 7:41 p.m.