Triple

T13679470
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Saint-Gaudens E327960 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Aspet
Aspet is a small commune in southwestern France, situated in the foothills of the Pyrenees in the Haute-Garonne department.
E1055491 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: Aspet | Statement: [arrondissement of Saint-Gaudens, containsAdministrativeTerritorialEntity, Aspet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspet
Context triple: [arrondissement of Saint-Gaudens, containsAdministrativeTerritorialEntity, Aspet]
  • A. Aspa
    Aspa is a small municipality located in the Segrià comarca within the province of Lleida in Catalonia, Spain.
  • B. Assoro
    Assoro is a historic hilltop town and comune in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
  • C. Ascrans
    The Ascrans were an ancient Greek people associated with the town of Ascra in Boeotia, known from classical literary and historical references.
  • D. Asse
    Asse is a municipality in the Belgian province of Flemish Brabant, located just northwest of Brussels.
  • E. Aspronisi
    Aspronisi is a small uninhabited volcanic islet in the Santorini (Thera) caldera in Greece, known for its steep cliffs and role in the ancient volcanic complex.
  • 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: Aspet
Triple: [arrondissement of Saint-Gaudens, containsAdministrativeTerritorialEntity, Aspet]
Generated description
Aspet is a small commune in southwestern France, situated in the foothills of the Pyrenees in the Haute-Garonne department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aspet
Target entity description: Aspet is a small commune in southwestern France, situated in the foothills of the Pyrenees in the Haute-Garonne department.
  • A. Aspa
    Aspa is a small municipality located in the Segrià comarca within the province of Lleida in Catalonia, Spain.
  • B. Assoro
    Assoro is a historic hilltop town and comune in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
  • C. Ascrans
    The Ascrans were an ancient Greek people associated with the town of Ascra in Boeotia, known from classical literary and historical references.
  • D. Asse
    Asse is a municipality in the Belgian province of Flemish Brabant, located just northwest of Brussels.
  • E. Aspronisi
    Aspronisi is a small uninhabited volcanic islet in the Santorini (Thera) caldera in Greece, known for its steep cliffs and role in the ancient volcanic complex.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66cbb088190907cb89dda8e4ebd completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944347a08190bc1386e78ddb3e71 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79523bf608190addeca563bea132e completed May 3, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7965cc9f88190acbf232615a9e87b completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:53 p.m.