Triple

T15113821
Position Surface form Disambiguated ID Type / Status
Subject Pankshin E360982 entity
Predicate locatedOn P40 FINISHED
Object Plateau E1107390 NE FINISHED

How this triple was built (2 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: Plateau | Statement: [Pankshin, locatedOn, Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plateau
Context triple: [Pankshin, locatedOn, Plateau]
  • A. Plateau
    Plateau is the central business district of Abidjan, known for its concentration of government institutions, corporate headquarters, and modern high-rise buildings.
  • B. Plateau
    The Plateau is a cultural and geographic region of North America characterized by intermontane river valleys and uplands, traditionally inhabited by Indigenous peoples such as the Spokan.
  • C. The Plateau
    The Plateau is a trendy, artsy neighborhood in Montreal known for its colorful row houses, vibrant street art, and lively café and nightlife scene.
  • D. PLATEAU chosen
    PLATEAU is a state in central Nigeria known for its diverse ethnic groups, cool climate, and the city of Jos as its capital.
  • E. Roztocze plateau
    The Roztocze plateau is a picturesque upland region in southeastern Poland known for its rolling hills, forests, and protected natural landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eccb988190aae27dd28cf50997 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.