Triple

T10644848
Position Surface form Disambiguated ID Type / Status
Subject Anoia E250810 entity
Predicate contains P35 FINISHED
Object Òdena
Òdena is a municipality in the Anoia comarca of Catalonia, Spain, known for its rural landscape and proximity to the town of Igualada.
E879967 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: Òdena | Statement: [Anoia, contains, Òdena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Òdena
Context triple: [Anoia, contains, Òdena]
  • A. Odda
    Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
  • B. Odensala
    Odensala is a locality within Östersund Municipality in Jämtland County, Sweden, functioning as a residential area near the city of Östersund.
  • C. Ödeen
    Ödeen is a Swedish surname most notably borne by individuals such as Kjell Ödeen.
  • D. Hoderi
    Hoderi is a deity in Japanese mythology, known as the elder son of Ninigi-no-Mikoto and an ancestor of seafaring clans.
  • E. Rünthe
    Rünthe is a former independent locality in North Rhine-Westphalia, Germany, that now forms part of the town of Bergkamen.
  • 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: Òdena
Triple: [Anoia, contains, Òdena]
Generated description
Òdena is a municipality in the Anoia comarca of Catalonia, Spain, known for its rural landscape and proximity to the town of Igualada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Òdena
Target entity description: Òdena is a municipality in the Anoia comarca of Catalonia, Spain, known for its rural landscape and proximity to the town of Igualada.
  • A. Odda
    Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
  • B. Odensala
    Odensala is a locality within Östersund Municipality in Jämtland County, Sweden, functioning as a residential area near the city of Östersund.
  • C. Ödeen
    Ödeen is a Swedish surname most notably borne by individuals such as Kjell Ödeen.
  • D. Hoderi
    Hoderi is a deity in Japanese mythology, known as the elder son of Ninigi-no-Mikoto and an ancestor of seafaring clans.
  • E. Rünthe
    Rünthe is a former independent locality in North Rhine-Westphalia, Germany, that now forms part of the town of Bergkamen.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfd04ca88190ac4fffd13c1f33a8 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d998a4571481908f5010146f7ca5d7 completed April 11, 2026, 12:41 a.m.
NEDg Description generation batch_69d99e8312188190bec3090f34a7b9b9 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d99f50e0888190b8e7b2547e1526af completed April 11, 2026, 1:09 a.m.
Created at: April 8, 2026, 9:05 p.m.