Triple

T13345451
Position Surface form Disambiguated ID Type / Status
Subject Segrià E317936 entity
Predicate hasMunicipality P847 FINISHED
Object Soses
Soses is a municipality in the Segrià comarca of the province of Lleida, in Catalonia, Spain.
E1035659 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: Soses | Statement: [Segrià, hasMunicipality, Soses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soses
Context triple: [Segrià, hasMunicipality, Soses]
  • A. Sossick
    Sossick is a Nigerian music producer known for crafting influential hip-hop and Afrobeats tracks for prominent artists.
  • B. Sowams
    Sowams was a principal Wampanoag village and homeland in present-day New England, historically significant as the seat of the sachem Massasoit and an early site of Native–Pilgrim interaction.
  • C. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • D. Sius
    Sius is the Ladin name for Seis am Schlern, a village in South Tyrol, northern Italy, known as a gateway to the Dolomites.
  • E. Sissons
    Sissons is an English surname most notably associated with the late BBC and ITN newsreader Peter Sissons.
  • 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: Soses
Triple: [Segrià, hasMunicipality, Soses]
Generated description
Soses is a municipality in the Segrià comarca of the province of Lleida, in Catalonia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soses
Target entity description: Soses is a municipality in the Segrià comarca of the province of Lleida, in Catalonia, Spain.
  • A. Sossick
    Sossick is a Nigerian music producer known for crafting influential hip-hop and Afrobeats tracks for prominent artists.
  • B. Sowams
    Sowams was a principal Wampanoag village and homeland in present-day New England, historically significant as the seat of the sachem Massasoit and an early site of Native–Pilgrim interaction.
  • C. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • D. Sius
    Sius is the Ladin name for Seis am Schlern, a village in South Tyrol, northern Italy, known as a gateway to the Dolomites.
  • E. Sissons
    Sissons is an English surname most notably associated with the late BBC and ITN newsreader Peter Sissons.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e89c65c819093f3bea11d6073c5 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f439b3c8190b35fd4d097d65068 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221887208190ac98945a023bc496 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:31 p.m.