Triple

T11059914
Position Surface form Disambiguated ID Type / Status
Subject Cathedral chapter of Osma E261481 entity
Predicate locatedIn P40 FINISHED
Object Osma
Osma is a historic town in Spain known for its medieval architecture and religious heritage centered around its cathedral.
E902828 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: Osma | Statement: [Cathedral chapter of Osma, locatedIn, Osma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osma
Context triple: [Cathedral chapter of Osma, locatedIn, Osma]
  • A. Yoske
    Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
  • B. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • C. Oga
    Oga is a coastal city in northern Japan known for the Oga Peninsula and its traditional Namahage folklore.
  • D. Zozo
    Zozo is a diminutive or affectionate nickname commonly used for someone named Zoe.
  • E. Oton
    Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
  • 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: Osma
Triple: [Cathedral chapter of Osma, locatedIn, Osma]
Generated description
Osma is a historic town in Spain known for its medieval architecture and religious heritage centered around its cathedral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Osma
Target entity description: Osma is a historic town in Spain known for its medieval architecture and religious heritage centered around its cathedral.
  • A. Yoske
    Yoske is a diminutive or affectionate nickname commonly used as a short form of the Hebrew given name Yosef.
  • B. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • C. Oga
    Oga is a coastal city in northern Japan known for the Oga Peninsula and its traditional Namahage folklore.
  • D. Zozo
    Zozo is a diminutive or affectionate nickname commonly used for someone named Zoe.
  • E. Oton
    Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798e991848190b07c2f48dae38681 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.