Triple

T15684694
Position Surface form Disambiguated ID Type / Status
Subject Accursed Mountains E380165 entity
Predicate hasSettlementNearby P7611 FINISHED
Object Plav
Plav is a small town in northeastern Montenegro known for its scenic glacial lake, mountainous surroundings, and proximity to the Accursed Mountains.
E1171640 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: Plav | Statement: [Accursed Mountains, hasSettlementNearby, Plav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plav
Context triple: [Accursed Mountains, hasSettlementNearby, Plav]
  • A. Plavi
    Plavi is the popular nickname of FK Željezničar Sarajevo, a prominent Bosnian football club known for its blue team colors.
  • B. Plavi
    Plavi is the traditional nickname of the Yugoslavia national football team, referring to their iconic blue-colored kit.
  • C. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • D. Palički
    Palički is a spelling variant of the surname Palicki, which is of Slavic origin and borne by various individuals, including some in Central and Eastern Europe.
  • E. Plaka
    Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
  • 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: Plav
Triple: [Accursed Mountains, hasSettlementNearby, Plav]
Generated description
Plav is a small town in northeastern Montenegro known for its scenic glacial lake, mountainous surroundings, and proximity to the Accursed Mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Plav
Target entity description: Plav is a small town in northeastern Montenegro known for its scenic glacial lake, mountainous surroundings, and proximity to the Accursed Mountains.
  • A. Plavi
    Plavi is the popular nickname of FK Željezničar Sarajevo, a prominent Bosnian football club known for its blue team colors.
  • B. Plavi
    Plavi is the traditional nickname of the Yugoslavia national football team, referring to their iconic blue-colored kit.
  • C. Povljana
    Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
  • D. Palički
    Palički is a spelling variant of the surname Palicki, which is of Slavic origin and borne by various individuals, including some in Central and Eastern Europe.
  • E. Plaka
    Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4b73d881908ec0f21393a01969 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee740e08190aa048b374ea7bfa0 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff70ae4d408190924aa3ef57b4e685 completed May 9, 2026, 5:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff7132e48c81908c17ade46713bb13 completed May 9, 2026, 5:38 p.m.
Created at: April 10, 2026, 4:44 a.m.