Triple

T10403164
Position Surface form Disambiguated ID Type / Status
Subject Saint Ursula E245197 entity
Predicate martyrdomPlace P64889 FINISHED
Object Cologne E35950 NE FINISHED

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: Cologne | Statement: [Saint Ursula, martyrdomPlace, Cologne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cologne
Context triple: [Saint Ursula, martyrdomPlace, Cologne]
  • A. Cologne chosen
    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.
  • B. Düsseldorf
    Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
  • C. 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.
  • D. Wuppertal
    Wuppertal is a city in western Germany known for its steep slopes, extensive parks, and the unique suspended monorail Wuppertal Schwebebahn.
  • E. Mannheim
    Mannheim is a major city in southwestern Germany, known as an important industrial, commercial, and cultural center at the confluence of the Rhine and Neckar rivers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: martyrdomPlace
Context triple: [Saint Ursula, martyrdomPlace, Cologne]
  • A. countryOfMartyrdom
    Indicates the country in which a person was martyred.
  • B. traditionalMartyrdomSiteOf
    Indicates that a place is traditionally regarded as the location where a particular individual was martyred.
  • C. placeOfKilling chosen
    Indicates the location where a killing event took place.
  • D. martyredUnder
    Indicates that an entity was killed or executed as a martyr during the rule, authority, or actions of another entity.
  • E. martyrdomStatus
    Indicates the state or condition of an entity with respect to being recognized or regarded as a martyr.
  • F. None of above.

Provenance (4 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9e535d48190b8fc377df543e058 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69deafff4b8c819099d47b48773c3629 completed April 14, 2026, 9:22 p.m.
PD Predicate disambiguation batch_69d4dfb438c481908dff87c47de2f069 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:08 p.m.