Triple
T19155345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bromma |
E468914
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Traneberg
Traneberg is a residential district in western Stockholm, Sweden, known for its mid-20th-century housing and proximity to Lake Mälaren.
|
E1361742
|
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: Traneberg | Statement: [Bromma, contains, Traneberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Traneberg Context triple: [Bromma, contains, Traneberg]
-
A.
Widdersberg
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
-
B.
Fagerborg
Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
-
C.
Valkhof
Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
-
D.
Grefsen
Grefsen is a residential neighborhood in Oslo, Norway, known for its hillside location with views over the city and access to public transport and green areas.
-
E.
Elsterberg
Elsterberg is a small town in the Vogtland region of Saxony, Germany, known for its historic castle ruins and scenic location along the White Elster River.
- 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: Traneberg Triple: [Bromma, contains, Traneberg]
Generated description
Traneberg is a residential district in western Stockholm, Sweden, known for its mid-20th-century housing and proximity to Lake Mälaren.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Traneberg Target entity description: Traneberg is a residential district in western Stockholm, Sweden, known for its mid-20th-century housing and proximity to Lake Mälaren.
-
A.
Widdersberg
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
-
B.
Fagerborg
Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
-
C.
Valkhof
Valkhof is a historic site in Nijmegen, Netherlands, known for its hilltop park and medieval castle ruins overlooking the River Waal.
-
D.
Grefsen
Grefsen is a residential neighborhood in Oslo, Norway, known for its hillside location with views over the city and access to public transport and green areas.
-
E.
Elsterberg
Elsterberg is a small town in the Vogtland region of Saxony, Germany, known for its historic castle ruins and scenic location along the White Elster River.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb914248190a92dc5f30cbc8fcc |
completed | April 20, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f258c5a0819084921b6e44bf1b34 |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f41269748190b6fa6301d8eb4f4f |
completed | May 15, 2026, 10:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4da6b04819084dab89e9b3c5d3e |
completed | May 15, 2026, 10:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.