Triple

T19316175
Position Surface form Disambiguated ID Type / Status
Subject Ormea E483102 entity
Predicate sharesBorderWith P224 FINISHED
Object Nasino
Nasino is a small municipality in the Ligurian hinterland of northwestern Italy, known for its mountainous terrain and rural character.
 E1369856 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: Nasino | Statement: [Ormea, sharesBorderWith, Nasino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nasino
Context triple: [Ormea, sharesBorderWith, Nasino]
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Isinay
    Isinay is an Austronesian language spoken by the Isinay people of northern Luzon in the Philippines, noted for its distinct phonology and grammar compared to neighboring Philippine languages.
  • C. Yoso
    Yoso was a short-lived progressive rock supergroup formed by former members of Yes and Toto, blending classic prog influences with melodic rock.
  • D. Nakasi
    Nakasi is a major suburban and commercial area within Fiji’s Suva–Nausori urban corridor.
  • E. Maysalun
    Maysalun is a mountainous area in southwestern Syria best known as the site of the 1920 Battle of Maysalun between Syrian forces and the French army.
  • 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: Nasino
Triple: [Ormea, sharesBorderWith, Nasino]
Generated description
Nasino is a small municipality in the Ligurian hinterland of northwestern Italy, known for its mountainous terrain and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nasino
Target entity description: Nasino is a small municipality in the Ligurian hinterland of northwestern Italy, known for its mountainous terrain and rural character.
  • A. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • B. Isinay
    Isinay is an Austronesian language spoken by the Isinay people of northern Luzon in the Philippines, noted for its distinct phonology and grammar compared to neighboring Philippine languages.
  • C. Yoso
    Yoso was a short-lived progressive rock supergroup formed by former members of Yes and Toto, blending classic prog influences with melodic rock.
  • D. Nakasi
    Nakasi is a major suburban and commercial area within Fiji’s Suva–Nausori urban corridor.
  • E. Maysalun
    Maysalun is a mountainous area in southwestern Syria best known as the site of the 1920 Battle of Maysalun between Syrian forces and the French army.
  • 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_6a071461923081909deb4c114cab2560 completed May 15, 2026, 12:41 p.m.
NEDg Description generation batch_6a0714eb6a0c8190bec7ae8ef785a4ab completed May 15, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0718ee8adc8190a74685f9783ba5d5 completed May 15, 2026, 1 p.m.
Created at: April 10, 2026, 1:32 p.m.