Triple

T15568150
Position Surface form Disambiguated ID Type / Status
Subject Ansião E374168 entity
Predicate borders P224 FINISHED
Object Soure
Soure is a municipality in Portugal’s Coimbra District, known for its rural landscapes, historical heritage, and location in the central region of the country.
E374184 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: Soure | Statement: [Ansião, borders, Soure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soure
Context triple: [Ansião, borders, Soure]
  • A. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • B. Suvar
    Suvar was an important medieval town and trading center in Volga Bulgaria, serving as one of the region’s key political and economic hubs.
  • C. Suen
    Suen is the Sumerian moon god, later known as Sin in Akkadian mythology, associated with the lunar cycle, wisdom, and divination.
  • D. Sõru
    Sõru is a small port village on the southern coast of Hiiumaa Island in Estonia, known for its ferry connection to the mainland and maritime setting.
  • E. Sosanya
    Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • 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: Soure
Triple: [Ansião, borders, Soure]
Generated description
Soure is a municipality in Portugal’s Coimbra District, known for its rural landscapes, historical heritage, and location in the central region of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soure
Target entity description: Soure is a municipality in Portugal’s Coimbra District, known for its rural landscapes, historical heritage, and location in the central region of the country.
  • A. Soure chosen
    Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
  • B. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • C. Suvar
    Suvar was an important medieval town and trading center in Volga Bulgaria, serving as one of the region’s key political and economic hubs.
  • D. Suen
    Suen is the Sumerian moon god, later known as Sin in Akkadian mythology, associated with the lunar cycle, wisdom, and divination.
  • E. Sõru
    Sõru is a small port village on the southern coast of Hiiumaa Island in Estonia, known for its ferry connection to the mainland and maritime setting.
  • F. None of above.

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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50d54960819089491ccb580784b8 completed May 9, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69ff5208e9a08190b4a6f4157cf3c237 completed May 9, 2026, 3:26 p.m.
Created at: April 10, 2026, 4:10 a.m.