Triple
T5208061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neues Rathaus (Munich) |
E117560
|
entity |
| Predicate | cityQuarter |
P12103
|
FINISHED |
| Object | Altstadt-Lehel |
E206869
|
NE FINISHED |
How this triple was built (2 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: Altstadt-Lehel | Statement: [Neues Rathaus (Munich), cityQuarter, Altstadt-Lehel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altstadt-Lehel Context triple: [Neues Rathaus (Munich), cityQuarter, Altstadt-Lehel]
-
A.
Altstadt-Lehel borough
chosen
Altstadt-Lehel is a central Munich borough that encompasses the historic Old Town and some of the city’s most prominent cultural and architectural landmarks.
-
B.
Bockenheim
Bockenheim is a lively urban district of Frankfurt am Main known for its mix of residential areas, shops, and university facilities.
-
C.
Altstadt
Altstadt is the historic old town district of Dresden, Germany, known for its baroque architecture and major cultural landmarks.
-
D.
Altstadt
Altstadt is the historic old town of Salzburg, Austria, renowned for its well-preserved baroque architecture and status as a UNESCO World Heritage Site.
-
E.
Altstadt
Altstadt is the historic old town of Düsseldorf, Germany, known for its dense concentration of bars, traditional breweries, and cultural landmarks along the Rhine River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefcf89d8819080541b49c8ad6589 |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:47 p.m.