Triple

T5119580
Position Surface form Disambiguated ID Type / Status
Subject Castelnaudary E115426 entity
Predicate twinTown P1072 FINISHED
Object Mollerussa
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
 E495096 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: Mollerussa | Statement: [Castelnaudary, twinTown, Mollerussa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mollerussa
Context triple: [Castelnaudary, twinTown, Mollerussa]
  • A. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • B. Murroes
    Murroes is a small rural village in eastern Scotland, situated within the historic county of Angus near the city of Dundee.
  • C. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • D. Jaur
    Jaur is a river that serves as a tributary within the Orb river system in southern France.
  • E. Sonnemann
    Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
  • 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: Mollerussa
Triple: [Castelnaudary, twinTown, Mollerussa]
Generated description
Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mollerussa
Target entity description: Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
  • A. Mümling
    The Mümling is a river in the Odenwald region of Germany that flows through Hesse and Bavaria before joining the Main.
  • B. Murroes
    Murroes is a small rural village in eastern Scotland, situated within the historic county of Angus near the city of Dundee.
  • C. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • D. Jaur
    Jaur is a river that serves as a tributary within the Orb river system in southern France.
  • E. Sonnemann
    Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cf6590819081488b739efae32c completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4ac11e081908979b32f458a011e completed March 21, 2026, 4:17 p.m.
NEDg Description generation batch_69bec51233cc8190ae5cc550c64dbd15 completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec5923ab48190b91744f6a04c6dcf completed March 21, 2026, 4:21 p.m.
Created at: March 20, 2026, 1:42 p.m.