Triple
T16482848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unterstrass |
E400364
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Wipkingen
Wipkingen is a residential and formerly industrial quarter in the city of Zurich, Switzerland, known for its hillside location above the Limmat River and good public transport connections.
|
E1216203
|
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: Wipkingen | Statement: [Unterstrass, borders, Wipkingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wipkingen Context triple: [Unterstrass, borders, Wipkingen]
-
A.
Sandviken
Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
-
B.
Vällingby
Vällingby is a suburban district in western Stockholm, Sweden, known as a pioneering post-war planned community and modernist housing area.
-
C.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
D.
Västerhaninge
Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
-
E.
Botkyrka
Botkyrka is a municipality in Stockholm County, Sweden, historically associated with the veneration of Saint Botvid and known for its cultural diversity and suburban communities.
- 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: Wipkingen Triple: [Unterstrass, borders, Wipkingen]
Generated description
Wipkingen is a residential and formerly industrial quarter in the city of Zurich, Switzerland, known for its hillside location above the Limmat River and good public transport connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wipkingen Target entity description: Wipkingen is a residential and formerly industrial quarter in the city of Zurich, Switzerland, known for its hillside location above the Limmat River and good public transport connections.
-
A.
Sandviken
Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
-
B.
Vällingby
Vällingby is a suburban district in western Stockholm, Sweden, known as a pioneering post-war planned community and modernist housing area.
-
C.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
D.
Västerhaninge
Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
-
E.
Botkyrka
Botkyrka is a municipality in Stockholm County, Sweden, historically associated with the veneration of Saint Botvid and known for its cultural diversity and suburban communities.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e03643881908b16ddb9004af5d0 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005820790c819088d953eeea09328d |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0059126e588190b531c145f3c155b4 |
completed | May 10, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059bf355c81909d6796482fe7f3e3 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:13 a.m.