Triple
T16460154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muri bei Bern |
E399784
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Ismaning
Ismaning is a municipality in the district of Munich in Bavaria, Germany, known for its proximity to Munich and its mix of residential areas and media-related businesses.
|
E1214839
|
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: Ismaning | Statement: [Muri bei Bern, hasTwinTown, Ismaning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ismaning Context triple: [Muri bei Bern, hasTwinTown, Ismaning]
-
A.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
B.
Omaar
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
C.
Kaminey
Kaminey is a 2009 Indian Hindi-language action crime film directed by Vishal Bhardwaj, known for its gritty storytelling, dark humor, and Shahid Kapoor’s dual role.
-
D.
Bamir
Bamir is a masculine given name, notably borne by Albanian politician and former President Bamir Topi.
-
E.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
- 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: Ismaning Triple: [Muri bei Bern, hasTwinTown, Ismaning]
Generated description
Ismaning is a municipality in the district of Munich in Bavaria, Germany, known for its proximity to Munich and its mix of residential areas and media-related businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ismaning Target entity description: Ismaning is a municipality in the district of Munich in Bavaria, Germany, known for its proximity to Munich and its mix of residential areas and media-related businesses.
-
A.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
B.
Omaar
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
C.
Kaminey
Kaminey is a 2009 Indian Hindi-language action crime film directed by Vishal Bhardwaj, known for its gritty storytelling, dark humor, and Shahid Kapoor’s dual role.
-
D.
Bamir
Bamir is a masculine given name, notably borne by Albanian politician and former President Bamir Topi.
-
E.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050a0f5b081908417c6062b1f50cc |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00517b7b1c819098118fdbe03eb010 |
completed | May 10, 2026, 9:35 a.m. |
Created at: April 10, 2026, 5:10 a.m.