Triple
T2544610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marktl am Inn |
E57868
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | Marktl a.Inn |
E57868
|
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: Marktl a.Inn | Statement: [Marktl am Inn, hasNativeName, Marktl a.Inn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marktl a.Inn Context triple: [Marktl am Inn, hasNativeName, Marktl a.Inn]
-
A.
Markt
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
-
B.
Marktl am Inn
chosen
Marktl am Inn is a small Bavarian town in southeastern Germany best known as the birthplace of Pope Benedict XVI.
-
C.
Obermarkt
Obermarkt is a historic central market square in the city of Görlitz, Germany, known for its well-preserved architecture and role as a focal point of urban life.
-
D.
Marktplatz
Marktplatz was the historical central marketplace of Munich, later renamed Marienplatz, which has long served as the city’s main public square and social hub.
-
E.
Grüner Markt
Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2c10ce88190b242ab3d41878fda |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d0a884c81909d7f537a79ccb435 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.