Triple

T7699249
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Liège E174446 entity
Predicate notableBishop P51988 FINISHED
Object Notger
Notger was a 10th-century bishop and prince-bishop of Liège who transformed the city into a major religious, cultural, and political center of the Holy Roman Empire.
 E682867 NE FINISHED

How this triple was built (4 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: Notger | Statement: [Diocese of Liège, notableBishop, Notger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Notger
Context triple: [Diocese of Liège, notableBishop, Notger]
  • A. Gothardus
    Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
  • B. Digor
    Digor is a dialect of the Ossetian language spoken primarily in the western part of North Ossetia–Alania in the Caucasus region.
  • C. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • D. Jodoigne
    Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
  • E. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Notger
Triple: [Diocese of Liège, notableBishop, Notger]
Generated description
Notger was a 10th-century bishop and prince-bishop of Liège who transformed the city into a major religious, cultural, and political center of the Holy Roman Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Notger
Target entity description: Notger was a 10th-century bishop and prince-bishop of Liège who transformed the city into a major religious, cultural, and political center of the Holy Roman Empire.
  • A. Gothardus
    Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
  • B. Digor
    Digor is a dialect of the Ossetian language spoken primarily in the western part of North Ossetia–Alania in the Caucasus region.
  • C. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • D. Jodoigne
    Jodoigne is a historic town in Walloon Brabant, Belgium, known for its medieval architecture and role in regional agriculture.
  • E. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • F. None of above. chosen

Provenance (5 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7026ba7b48190a18f1c1cbbf1b944 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acb3ac4481909acafe50b9507aaa completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8adeb3948819087404b0d7d7e619e completed March 29, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69c8aedede388190b8eb79cea223c31c completed March 29, 2026, 4:47 a.m.
Created at: March 27, 2026, 4:03 p.m.