Triple
T15586435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogenhausen |
E374632
|
entity |
| Predicate | hasCityQuarter |
P4813
|
FINISHED |
| Object |
Zamdorf
Zamdorf is a residential and commercial neighborhood in the Bogenhausen borough of Munich, Germany.
|
E1165764
|
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: Zamdorf | Statement: [Bogenhausen, hasCityQuarter, Zamdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zamdorf Context triple: [Bogenhausen, hasCityQuarter, Zamdorf]
-
A.
Zernien
Zernien is a municipality in Lower Saxony, Germany, situated within the collective municipality (Samtgemeinde) of Elbtalaue.
-
B.
Arzdorf
Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Viereth-Trunstadt
Viereth-Trunstadt is a small municipality in the Upper Franconia region of Bavaria, Germany, situated along the Main River and known for its wine-growing and rural character.
-
D.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
E.
Saverdun
Saverdun is a small commune in southwestern France, historically notable as the birthplace of Pope Benedict XII.
- 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: Zamdorf Triple: [Bogenhausen, hasCityQuarter, Zamdorf]
Generated description
Zamdorf is a residential and commercial neighborhood in the Bogenhausen borough of Munich, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zamdorf Target entity description: Zamdorf is a residential and commercial neighborhood in the Bogenhausen borough of Munich, Germany.
-
A.
Zernien
Zernien is a municipality in Lower Saxony, Germany, situated within the collective municipality (Samtgemeinde) of Elbtalaue.
-
B.
Arzdorf
Arzdorf is a village and district of the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Viereth-Trunstadt
Viereth-Trunstadt is a small municipality in the Upper Franconia region of Bavaria, Germany, situated along the Main River and known for its wine-growing and rural character.
-
D.
Niendorf
Niendorf is a residential district in the northwestern part of Hamburg, Germany, known for its suburban character and proximity to Hamburg Airport.
-
E.
Saverdun
Saverdun is a small commune in southwestern France, historically notable as the birthplace of Pope Benedict XII.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4900408190aadb48b001db4169 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c5166d88190ab14c7779e3e8e1f |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff50183f608190811cbff769cdd110 |
completed | May 9, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff52eedbc08190be2f62326b00c8c7 |
completed | May 9, 2026, 3:29 p.m. |
Created at: April 10, 2026, 4:11 a.m.