Triple

T19029821
Position Surface form Disambiguated ID Type / Status
Subject Ripollès E465704 entity
Predicate containsMunicipality P852 FINISHED
Object Toses
Toses is a small mountain municipality in the Ripollès comarca of Catalonia, Spain, known for its Pyrenean landscapes and traditional rural character.
 E1354738 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: Toses | Statement: [Ripollès, containsMunicipality, Toses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toses
Context triple: [Ripollès, containsMunicipality, Toses]
  • A. Tose
    Tose is a Japanese video game development company known for its extensive behind-the-scenes work creating and co-developing titles for major publishers without usually taking public credit.
  • B. Tose
    Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
  • C. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • D. Tzurulum
    Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
  • E. Tohorot
    Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
  • 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: Toses
Triple: [Ripollès, containsMunicipality, Toses]
Generated description
Toses is a small mountain municipality in the Ripollès comarca of Catalonia, Spain, known for its Pyrenean landscapes and traditional rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toses
Target entity description: Toses is a small mountain municipality in the Ripollès comarca of Catalonia, Spain, known for its Pyrenean landscapes and traditional rural character.
  • A. Tose
    Tose is a Japanese video game development company known for its extensive behind-the-scenes work creating and co-developing titles for major publishers without usually taking public credit.
  • B. Tose
    Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
  • C. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • D. Tzurulum
    Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
  • E. Tohorot
    Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73f98dc81909acbb366f00d2d54 completed April 20, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be59f0088190ae133c2d12beb2c0 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf20c800819084e54a34574cb630 completed May 14, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a05bf8bd1cc8190a67b98eb43b4d850 completed May 14, 2026, 12:26 p.m.
Created at: April 10, 2026, 12:02 p.m.