Triple

T16428536
Position Surface form Disambiguated ID Type / Status
Subject Frauentor E399009 entity
Predicate partOf P40 FINISHED
Object Nuremberg city walls E87315 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: Nuremberg city walls | Statement: [Frauentor, partOf, Nuremberg city walls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuremberg city walls
Context triple: [Frauentor, partOf, Nuremberg city walls]
  • A. Nuremberg City Walls chosen
    The Nuremberg City Walls are a well-preserved medieval fortification system encircling Nuremberg’s historic old town, featuring towers, gates, and defensive structures.
  • B. Amberg city walls
    The Amberg city walls are a well-preserved medieval fortification system encircling the historic center of Amberg in Bavaria, Germany.
  • C. Görlitz city walls
    The Görlitz city walls are a historic medieval fortification system encircling the old town of Görlitz, Germany, featuring preserved towers, gates, and defensive structures.
  • D. Freiberg city walls
    The Freiberg city walls are a historic medieval fortification system that once enclosed the Saxon mining town of Freiberg, parts of which are still preserved today.
  • E. Nuremberg Castle
    Nuremberg Castle is a historic medieval fortress complex overlooking the city of Nuremberg in Germany, renowned for its significant role in the Holy Roman Empire.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fc223c8190bbed29907351a6f6 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0091872e648190b805aa4e41bcbb6d completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:09 a.m.