Triple
T7129743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vesturbær |
E166154
|
entity |
| Predicate | roadNetworkIncludes |
P3374
|
FINISHED |
| Object |
Njarðargata
Njarðargata is a street located in the Vesturbær district of Reykjavík, Iceland.
|
E644369
|
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: Njarðargata | Statement: [Vesturbær, roadNetworkIncludes, Njarðargata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Njarðargata Context triple: [Vesturbær, roadNetworkIncludes, Njarðargata]
-
A.
Strætó
Strætó is the public bus transport company serving Reykjavík and other regions of Iceland.
-
B.
Akersgata
Akersgata is a central street in Oslo, Norway, known for running through the city’s political and media district and hosting several important government and newspaper buildings.
-
C.
Hamngatan
Hamngatan is a major shopping and traffic street in central Stockholm, Sweden, known for its department stores and proximity to Sergels torg.
-
D.
Lambareiði
Lambareiði is a small village on the Faroe Islands' island of Eysturoy, known for its coastal setting and traditional Faroese character.
-
E.
Birger Jarlsgatan
Birger Jarlsgatan is a major central street in Stockholm, Sweden, known for its upscale shops, offices, and role as a key thoroughfare through the Östermalm district.
- 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: Njarðargata Triple: [Vesturbær, roadNetworkIncludes, Njarðargata]
Generated description
Njarðargata is a street located in the Vesturbær district of Reykjavík, Iceland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Njarðargata Target entity description: Njarðargata is a street located in the Vesturbær district of Reykjavík, Iceland.
-
A.
Strætó
Strætó is the public bus transport company serving Reykjavík and other regions of Iceland.
-
B.
Akersgata
Akersgata is a central street in Oslo, Norway, known for running through the city’s political and media district and hosting several important government and newspaper buildings.
-
C.
Hamngatan
Hamngatan is a major shopping and traffic street in central Stockholm, Sweden, known for its department stores and proximity to Sergels torg.
-
D.
Lambareiði
Lambareiði is a small village on the Faroe Islands' island of Eysturoy, known for its coastal setting and traditional Faroese character.
-
E.
Birger Jarlsgatan
Birger Jarlsgatan is a major central street in Stockholm, Sweden, known for its upscale shops, offices, and role as a key thoroughfare through the Östermalm district.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66c87848190b0ffd08e3c3f4877 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a33bf244819096db1351ebf62413 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a45ce628819085343c30f2886a95 |
completed | March 28, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a60ac4348190a623522f2d8199e9 |
completed | March 28, 2026, 9:57 a.m. |
Created at: March 27, 2026, 2:44 p.m.