Triple
T17834469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tegnergatan |
E445345
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object |
Dalagatan
Dalagatan is a street in central Stockholm, Sweden, known for its residential buildings and proximity to several major city thoroughfares.
|
E1291098
|
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: Dalagatan | Statement: [Tegnergatan, connectsWith, Dalagatan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalagatan Context triple: [Tegnergatan, connectsWith, Dalagatan]
-
A.
Kalinago
The Kalinago are an Indigenous Carib-speaking people of the Lesser Antilles and nearby mainland South America, historically known as skilled seafarers and fierce resistors of European colonization.
-
B.
Taloga
Taloga is a small town in western Oklahoma that serves as the county seat and administrative hub of Dewey County.
-
C.
Naawan
Naawan is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
-
D.
Cataingan
Cataingan is a coastal municipality located on the island province of Masbate in the Philippines, known for its fishing communities and agricultural activities.
-
E.
Laguna Keres
Laguna Keres is a Keresan language variety traditionally spoken by the Laguna Pueblo people of New Mexico.
- 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: Dalagatan Triple: [Tegnergatan, connectsWith, Dalagatan]
Generated description
Dalagatan is a street in central Stockholm, Sweden, known for its residential buildings and proximity to several major city thoroughfares.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalagatan Target entity description: Dalagatan is a street in central Stockholm, Sweden, known for its residential buildings and proximity to several major city thoroughfares.
-
A.
Kalinago
The Kalinago are an Indigenous Carib-speaking people of the Lesser Antilles and nearby mainland South America, historically known as skilled seafarers and fierce resistors of European colonization.
-
B.
Taloga
Taloga is a small town in western Oklahoma that serves as the county seat and administrative hub of Dewey County.
-
C.
Naawan
Naawan is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
-
D.
Cataingan
Cataingan is a coastal municipality located on the island province of Masbate in the Philippines, known for its fishing communities and agricultural activities.
-
E.
Laguna Keres
Laguna Keres is a Keresan language variety traditionally spoken by the Laguna Pueblo people of New Mexico.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d271e4481909664897cb789fe4a |
completed | April 19, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0306f83e748190b9d111b12ee8e0b8 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a0308403f7c81908570458c944eae34 |
completed | May 12, 2026, 11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0308d5d69481908402f366e561b8c0 |
completed | May 12, 2026, 11:02 a.m. |
Created at: April 10, 2026, 10:16 a.m.