Triple

T19316188
Position Surface form Disambiguated ID Type / Status
Subject Ormea E483102 entity
Predicate hasDemonym P191 FINISHED
Object Ormeesi
Ormeesi are the inhabitants or natives of the Italian town of Ormea, typically referring to its local population and community.
 E1371123 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: Ormeesi | Statement: [Ormea, hasDemonym, Ormeesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ormeesi
Context triple: [Ormea, hasDemonym, Ormeesi]
  • A. Osicala
    Osicala is a small municipality located in the mountainous Morazán Department of northeastern El Salvador, known for its rural character and agricultural activities.
  • B. Ornytion
    Ornytion is a minor figure in Greek mythology, traditionally known as a son of the Corinthian king Sisyphus and father of Merope.
  • C. Overhalla
    Overhalla is a rural municipality in Trøndelag county, Norway, known for its agriculture, forestry, and proximity to the town of Namsos.
  • D. Ogori
    Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
  • E. Youren
    Youren is the given name of Yu Youren, a prominent Chinese calligrapher, educator, and politician of the 20th century.
  • 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: Ormeesi
Triple: [Ormea, hasDemonym, Ormeesi]
Generated description
Ormeesi are the inhabitants or natives of the Italian town of Ormea, typically referring to its local population and community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ormeesi
Target entity description: Ormeesi are the inhabitants or natives of the Italian town of Ormea, typically referring to its local population and community.
  • A. Osicala
    Osicala is a small municipality located in the mountainous Morazán Department of northeastern El Salvador, known for its rural character and agricultural activities.
  • B. Ornytion
    Ornytion is a minor figure in Greek mythology, traditionally known as a son of the Corinthian king Sisyphus and father of Merope.
  • C. Overhalla
    Overhalla is a rural municipality in Trøndelag county, Norway, known for its agriculture, forestry, and proximity to the town of Namsos.
  • D. Ogori
    Ogori is a small Japanese city located in Fukuoka Prefecture on the island of Kyushu.
  • E. Youren
    Youren is the given name of Yu Youren, a prominent Chinese calligrapher, educator, and politician of the 20th century.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d843640819089ff3738aae29eb1 completed April 20, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bd625748190a00d58bc9409843c completed May 15, 2026, 1:12 p.m.
NEDg Description generation batch_6a071c8a9dec8190a4fbb88736b73912 completed May 15, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_6a071e0e00208190a6e05266d5bc47e2 completed May 15, 2026, 1:22 p.m.
Created at: April 10, 2026, 1:32 p.m.