Triple

T7206094
Position Surface form Disambiguated ID Type / Status
Subject Haute-Vienne E148669 entity
Predicate containsCity P294 FINISHED
Object Panazol
Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
E648371 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: Panazol | Statement: [Haute-Vienne, containsCity, Panazol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panazol
Context triple: [Haute-Vienne, containsCity, Panazol]
  • A. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • B. Plaxtol
    Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • C. Auscitain
    An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
  • D. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • E. Benso
    Benso is the aristocratic family name of Camillo Benso, Count of Cavour, a leading statesman of the Italian unification.
  • 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: Panazol
Triple: [Haute-Vienne, containsCity, Panazol]
Generated description
Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Panazol
Target entity description: Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
  • A. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • B. Plaxtol
    Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • C. Auscitain
    An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
  • D. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • E. Benso
    Benso is the aristocratic family name of Camillo Benso, Count of Cavour, a leading statesman of the Italian unification.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e94ef5cc81908c33adcedf5c5054 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc0ac008190b3ea46b4e5f13287 completed March 28, 2026, 11:47 a.m.
NEDg Description generation batch_69c7c071778881909a82eedf61cae22b completed March 28, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7c111e05c8190a9cfba3fca1f8198 completed March 28, 2026, 11:52 a.m.
Created at: March 27, 2026, 2:52 p.m.