Triple
T17120499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irchel |
E415450
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object |
Schwamendingen
Schwamendingen is a district in the northern part of Zurich, Switzerland, known for its residential neighborhoods and proximity to green recreational areas.
|
E1250605
|
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: Schwamendingen | Statement: [Irchel, hasNearbyArea, Schwamendingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwamendingen Context triple: [Irchel, hasNearbyArea, Schwamendingen]
-
A.
Schwansen
Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
-
B.
Gailingen
Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
-
C.
Heerbrugg
Heerbrugg is a village in the canton of St. Gallen in northeastern Switzerland, known as a regional transport hub and industrial center, particularly for precision optics and surveying technology.
-
D.
Schippenbeil
Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
-
E.
Benningen
Benningen is a municipality in the Unterallgäu district of Bavaria in southern Germany.
- 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: Schwamendingen Triple: [Irchel, hasNearbyArea, Schwamendingen]
Generated description
Schwamendingen is a district in the northern part of Zurich, Switzerland, known for its residential neighborhoods and proximity to green recreational areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwamendingen Target entity description: Schwamendingen is a district in the northern part of Zurich, Switzerland, known for its residential neighborhoods and proximity to green recreational areas.
-
A.
Schwansen
Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
-
B.
Gailingen
Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
-
C.
Heerbrugg
Heerbrugg is a village in the canton of St. Gallen in northeastern Switzerland, known as a regional transport hub and industrial center, particularly for precision optics and surveying technology.
-
D.
Schippenbeil
Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
-
E.
Benningen
Benningen is a municipality in the Unterallgäu district of Bavaria in southern Germany.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a1062fc8190b1c4e97f42cf3faa |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:36 a.m.