Triple

T17264384
Position Surface form Disambiguated ID Type / Status
Subject Cologne mark E419086 entity
Predicate associatedWith P37 FINISHED
Object City of Cologne E506212 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: City of Cologne | Statement: [Cologne mark, associatedWith, City of Cologne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Cologne
Context triple: [Cologne mark, associatedWith, City of Cologne]
  • A. Imperial City of Cologne chosen
    The Imperial City of Cologne was a major free imperial city of the Holy Roman Empire, renowned as a key commercial, religious, and cultural center on the Rhine.
  • B. Cologne
    Cologne is a historic German city on the Rhine River, renowned for its Gothic cathedral, vibrant cultural scene, and status as a major economic and media hub.
  • C. Cologne
    Cologne is an unincorporated community within Galloway Township in Atlantic County, New Jersey, known primarily as a small residential area in the region.
  • D. Koblenz
    Koblenz is a historic German city in Rhineland-Palatinate, known for its strategic location at the confluence of the Rhine and Moselle rivers and its well-preserved fortresses and old town.
  • E. City of Wesel
    The City of Wesel is a historic German town on the Lower Rhine that became an important Reformation and trading center in the early modern period.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4432fc81908fd90865822af1fa completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180ce69d08190aa254f219a572a92 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:40 a.m.