Triple
T20556245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa Meadow |
E504726
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Munich district of Schwanthalerhöhe |
—
|
NE NERFINISHED |
How this triple was built (3 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: Munich district of Schwanthalerhöhe | Statement: [Theresa Meadow, locatedNear, Munich district of Schwanthalerhöhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munich district of Schwanthalerhöhe Context triple: [Theresa Meadow, locatedNear, Munich district of Schwanthalerhöhe]
-
A.
Munich district of Ludwigsvorstadt-Isarvorstadt
The Munich district of Ludwigsvorstadt-Isarvorstadt is a central, densely populated borough known for its historic architecture, vibrant cultural and nightlife scene, and major attractions such as the Oktoberfest grounds at Theresienwiese.
-
B.
Munich (district)
Munich (district) is a rural administrative district (Landkreis) in Upper Bavaria, Germany, surrounding but not including the city of Munich and comprising numerous towns and municipalities such as Garching.
-
C.
Giesing
Giesing is a district in Munich, Germany, known as a historically working-class neighborhood that today combines residential areas with notable institutions such as the nearby Stadelheim Prison.
-
D.
Bogenhausen district
Bogenhausen district is an upscale residential and cultural area in Munich known for its historic villas, embassies, and prominent boulevards.
-
E.
Munich-Haidhausen
Munich-Haidhausen is a historic and centrally located district of Munich known for its charming old streets, vibrant cultural scene, and mix of residential and governmental buildings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Munich district of Schwanthalerhöhe Target entity description: The Munich district of Schwanthalerhöhe is a central, densely populated neighborhood known for its historic working-class roots, proximity to the Theresienwiese (Oktoberfest grounds), and vibrant mix of residential, cultural, and commercial spaces.
-
A.
Munich district of Ludwigsvorstadt-Isarvorstadt
The Munich district of Ludwigsvorstadt-Isarvorstadt is a central, densely populated borough known for its historic architecture, vibrant cultural and nightlife scene, and major attractions such as the Oktoberfest grounds at Theresienwiese.
-
B.
Munich (district)
Munich (district) is a rural administrative district (Landkreis) in Upper Bavaria, Germany, surrounding but not including the city of Munich and comprising numerous towns and municipalities such as Garching.
-
C.
Giesing
Giesing is a district in Munich, Germany, known as a historically working-class neighborhood that today combines residential areas with notable institutions such as the nearby Stadelheim Prison.
-
D.
Bogenhausen district
Bogenhausen district is an upscale residential and cultural area in Munich known for its historic villas, embassies, and prominent boulevards.
-
E.
Munich-Haidhausen
Munich-Haidhausen is a historic and centrally located district of Munich known for its charming old streets, vibrant cultural scene, and mix of residential and governmental buildings.
- F. None of above. chosen
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5dd02588190abddfcb868259a38 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.