Triple

T7611308
Position Surface form Disambiguated ID Type / Status
Subject Sacavém E172241 entity
Predicate adjacentTo P224 FINISHED
Object Moscavide
Moscavide is an urban parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
E676574 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: Moscavide | Statement: [Sacavém, adjacentTo, Moscavide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscavide
Context triple: [Sacavém, adjacentTo, Moscavide]
  • A. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • B. Karlino
    Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
  • C. Luzhitsy
    Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
  • D. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • E. Mylovanov
    Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
  • 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: Moscavide
Triple: [Sacavém, adjacentTo, Moscavide]
Generated description
Moscavide is an urban parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moscavide
Target entity description: Moscavide is an urban parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • A. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • B. Karlino
    Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
  • C. Luzhitsy
    Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
  • D. Malinovsky
    Malinovsky is a Russian surname most notably associated with Soviet military commander and Marshal of the Soviet Union Rodion Malinovsky.
  • E. Mylovanov
    Mylovanov is the surname of Tymofiy Mylovanov, a Ukrainian economist and former government minister known for his work on economic policy and reform.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa221c848190b892ba1caec8d83a completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868645f8081909439f63df3184628 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c868edf84c8190a6fefce18fc606e1 completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c869c54ad08190ba42231080d0e9f3 completed March 28, 2026, 11:52 p.m.
Created at: March 27, 2026, 3:55 p.m.