Triple
T15586434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogenhausen |
E374632
|
entity |
| Predicate | hasCityQuarter |
P4813
|
FINISHED |
| Object |
Daglfing
Daglfing is a residential district in the eastern part of Munich, Germany, known for its horse racing track and quiet suburban character.
|
E1165763
|
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: Daglfing | Statement: [Bogenhausen, hasCityQuarter, Daglfing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daglfing Context triple: [Bogenhausen, hasCityQuarter, Daglfing]
-
A.
Dverberg
Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
-
B.
Derendingen
Derendingen is a municipality in the canton of Solothurn in northwestern Switzerland, known as a residential and industrial community near the city of Solothurn.
-
C.
Schreckfirn
Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
-
D.
Givlaari
Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
-
E.
Dagmersellen
Dagmersellen is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and location in the Wigger river valley.
- 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: Daglfing Triple: [Bogenhausen, hasCityQuarter, Daglfing]
Generated description
Daglfing is a residential district in the eastern part of Munich, Germany, known for its horse racing track and quiet suburban character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daglfing Target entity description: Daglfing is a residential district in the eastern part of Munich, Germany, known for its horse racing track and quiet suburban character.
-
A.
Dverberg
Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
-
B.
Derendingen
Derendingen is a municipality in the canton of Solothurn in northwestern Switzerland, known as a residential and industrial community near the city of Solothurn.
-
C.
Schreckfirn
Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
-
D.
Givlaari
Givlaari is an RNA interference-based therapy used to treat acute hepatic porphyria by reducing the production of toxic heme intermediates in the liver.
-
E.
Dagmersellen
Dagmersellen is a municipality in the canton of Lucerne in central Switzerland, known for its rural character and location in the Wigger river valley.
- 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.