Triple

T17549950
Position Surface form Disambiguated ID Type / Status
Subject Tiswadi taluka E427431 entity
Predicate contains P35 FINISHED
Object Pilerne NE NERFINISHED

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: Pilerne | Statement: [Tiswadi taluka, contains, Pilerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilerne
Context triple: [Tiswadi taluka, contains, Pilerne]
  • A. Pilerne chosen
    Pilerne is a village in North Goa, India, known for its scenic landscapes, salt pans, and proximity to popular coastal and urban areas like Candolim and Panaji.
  • B. Pilestredet
    Pilestredet is a central street in Oslo, Norway, known for hosting parts of Oslo Metropolitan University's main campus and various urban institutions.
  • C. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • D. Vinderen
    Vinderen is a residential neighborhood in Oslo, Norway, known for its affluent character, green surroundings, and convenient access to the city center.
  • E. Le Pallet
    Le Pallet is a small commune in western France best known as the birthplace of the medieval philosopher and theologian Peter Abelard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45463ddf88190a2c29f3246adcb6e completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.