Triple
T1044272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botkyrka Municipality |
E22540
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Tuna
Tuna is a locality in Botkyrka Municipality in Stockholm County, Sweden.
|
E120615
|
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: Tuna | Statement: [Botkyrka Municipality, hasLocality, Tuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuna Context triple: [Botkyrka Municipality, hasLocality, Tuna]
-
A.
Atlantic salmon
The Atlantic salmon is a migratory fish species native to the North Atlantic Ocean and its connected rivers, renowned for its long-distance spawning runs and importance in both ecology and fisheries.
-
B.
Fisk
Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
-
C.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
D.
Ika
Ika is a Sanskrit-derived word meaning “one” or “unity,” used in the Indonesian national motto “Bhinneka Tunggal Ika” to express the idea of oneness amid diversity.
-
E.
The Big Tuna
The Big Tuna is the famous nickname of Bill Parcells, a Hall of Fame NFL head coach known for turning struggling teams into contenders.
- 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: Tuna Triple: [Botkyrka Municipality, hasLocality, Tuna]
Generated description
Tuna is a locality in Botkyrka Municipality in Stockholm County, Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuna Target entity description: Tuna is a locality in Botkyrka Municipality in Stockholm County, Sweden.
-
A.
Atlantic salmon
The Atlantic salmon is a migratory fish species native to the North Atlantic Ocean and its connected rivers, renowned for its long-distance spawning runs and importance in both ecology and fisheries.
-
B.
Fisk
Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
-
C.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
D.
Ika
Ika is a Sanskrit-derived word meaning “one” or “unity,” used in the Indonesian national motto “Bhinneka Tunggal Ika” to express the idea of oneness amid diversity.
-
E.
The Big Tuna
The Big Tuna is the famous nickname of Bill Parcells, a Hall of Fame NFL head coach known for turning struggling teams into contenders.
- 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_69ac3bc97dec81909b6ad48e3f203923 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3c42c2c081909ccadbf944d3aa6c |
completed | March 7, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3cbd43848190854add440753fdad |
completed | March 7, 2026, 2:57 p.m. |
Created at: March 1, 2026, 7:42 p.m.