Triple
T1044261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botkyrka Municipality |
E22540
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Tullinge
Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
|
E142383
|
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: Tullinge | Statement: [Botkyrka Municipality, hasLocality, Tullinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tullinge Context triple: [Botkyrka Municipality, hasLocality, Tullinge]
-
A.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
B.
Västerhaninge
Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
-
C.
Trångsund
Trångsund is a suburban district in the southern part of the Stockholm urban area in Sweden, known for its residential character and proximity to lakes and nature.
-
D.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
E.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
- 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: Tullinge Triple: [Botkyrka Municipality, hasLocality, Tullinge]
Generated description
Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tullinge Target entity description: Tullinge is a suburban locality in the Stockholm region of Sweden, known for its residential areas, natural surroundings, and commuter connections to central Stockholm.
-
A.
Tungelsta
Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
-
B.
Västerhaninge
Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
-
C.
Trångsund
Trångsund is a suburban district in the southern part of the Stockholm urban area in Sweden, known for its residential character and proximity to lakes and nature.
-
D.
Skarpäng
Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
-
E.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8475ab48190848388eea6448cb6 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f675824819091de0a83b2a6a0b3 |
completed | March 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69ac8fecffc08190a2adb1cdc0cec77c |
completed | March 7, 2026, 8:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9102fa2c8190a26fce804367ea58 |
completed | March 7, 2026, 8:56 p.m. |
Created at: March 1, 2026, 7:42 p.m.