Triple

T9518106
Position Surface form Disambiguated ID Type / Status
Subject Charles Martel E229575 entity
Predicate deathPlace P21 FINISHED
Object Quierzy
Quierzy is a historic commune in northern France known as a Carolingian royal residence and the site of important early medieval assemblies and capitularies.
 E902564 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: Quierzy | Statement: [Charles Martel, deathPlace, Quierzy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quierzy
Context triple: [Charles Martel, deathPlace, Quierzy]
  • A. Czorsztyn
    Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
  • B. Kruszwica
    Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
  • C. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • D. Zawichost
    Zawichost is a small historic town in southeastern Poland, situated on the Vistula River in the Świętokrzyskie Voivodeship.
  • E. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • 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: Quierzy
Triple: [Charles Martel, deathPlace, Quierzy]
Generated description
Quierzy is a historic commune in northern France known as a Carolingian royal residence and the site of important early medieval assemblies and capitularies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quierzy
Target entity description: Quierzy is a historic commune in northern France known as a Carolingian royal residence and the site of important early medieval assemblies and capitularies.
  • A. Czorsztyn
    Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
  • B. Kruszwica
    Kruszwica is a historic town in central Poland, known for its medieval Mouse Tower, lakeside setting on Lake Gopło, and role as an early center of Polish statehood.
  • C. Pszczyna
    Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
  • D. Zawichost
    Zawichost is a small historic town in southeastern Poland, situated on the Vistula River in the Świętokrzyskie Voivodeship.
  • E. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9880417c819097dde277988df36d completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c79bc53481908552af9ebd582edf completed April 18, 2026, 6:04 p.m.
NEDg Description generation batch_69e3ca36528081908dd0db5063e90b3b completed April 18, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_69e3cf08cf108190966b4abd0514a6ea completed April 18, 2026, 6:35 p.m.
Created at: March 30, 2026, 7:59 p.m.