Triple

T8341283
Position Surface form Disambiguated ID Type / Status
Subject Armand Fallières E195919 entity
Predicate placeOfBirth P1 FINISHED
Object Mézin
Mézin is a small commune in southwestern France, known as the birthplace of former French President Armand Fallières.
E730318 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: Mézin | Statement: [Armand Fallières, placeOfBirth, Mézin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mézin
Context triple: [Armand Fallières, placeOfBirth, Mézin]
  • A. Oberá
    Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
  • B. Merzen
    Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
  • C. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • D. Zihl
    Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
  • E. Tujetsch
    Tujetsch is a mountainous municipality in the canton of Graubünden in Switzerland, known for encompassing the source region of the Rhine and the resort village of Sedrun.
  • 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: Mézin
Triple: [Armand Fallières, placeOfBirth, Mézin]
Generated description
Mézin is a small commune in southwestern France, known as the birthplace of former French President Armand Fallières.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mézin
Target entity description: Mézin is a small commune in southwestern France, known as the birthplace of former French President Armand Fallières.
  • A. Oberá
    Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
  • B. Merzen
    Merzen is a rural municipality in Lower Saxony, Germany, known for its agricultural character and location within the Osnabrück region.
  • C. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • D. Zihl
    Zihl is a river in Switzerland that serves as a key tributary within the Aare river system.
  • E. Tujetsch
    Tujetsch is a mountainous municipality in the canton of Graubünden in Switzerland, known for encompassing the source region of the Rhine and the resort village of Sedrun.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde79e916c8190afc90c3b12c68caf completed April 2, 2026, 3:50 a.m.
NEDg Description generation batch_69cdec234ad8819080868076efdbe22c completed April 2, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 5:58 p.m.