Triple

T12427276
Position Surface form Disambiguated ID Type / Status
Subject Twelve Bens E296930 entity
Predicate hasPeak P8205 FINISHED
Object Benglenisky
Benglenisky is one of the summits in the Twelve Bens mountain range in Connemara, County Galway, Ireland, known for its rugged terrain and scenic hiking routes.
 E981953 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: Benglenisky | Statement: [Twelve Bens, hasPeak, Benglenisky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benglenisky
Context triple: [Twelve Bens, hasPeak, Benglenisky]
  • A. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • B. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • C. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • D. Shuisky
    Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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: Benglenisky
Triple: [Twelve Bens, hasPeak, Benglenisky]
Generated description
Benglenisky is one of the summits in the Twelve Bens mountain range in Connemara, County Galway, Ireland, known for its rugged terrain and scenic hiking routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benglenisky
Target entity description: Benglenisky is one of the summits in the Twelve Bens mountain range in Connemara, County Galway, Ireland, known for its rugged terrain and scenic hiking routes.
  • A. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • B. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • C. Mishaninskaya
    Mishaninskaya is a rural locality in Russia best known as the birthplace of the polymath and scientist Mikhail Lomonosov.
  • D. Shuisky
    Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63499061881908d25af7c3474f774 completed May 2, 2026, 5:30 p.m.
NEDg Description generation batch_69f636cf7d808190bf3c1c84bdaf414e completed May 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69f6380223d08190959e524ad146d0e0 completed May 2, 2026, 5:44 p.m.
Created at: April 8, 2026, 9:55 p.m.