Triple

T17413702
Position Surface form Disambiguated ID Type / Status
Subject Sandaun Province E423432 entity
Predicate hasMajorTown P316 FINISHED
Object Vanimo 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: Vanimo | Statement: [Sandaun Province, hasMajorTown, Vanimo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanimo
Context triple: [Sandaun Province, hasMajorTown, Vanimo]
  • A. Vanimo chosen
    Vanimo is a coastal town in northwestern Papua New Guinea that serves as the administrative and commercial center of Sandaun Province near the Indonesian border.
  • B. Vasto
    Vasto is a historic coastal town in Italy’s Abruzzo region, known for its medieval center and views over the Adriatic Sea.
  • C. Tuusula
    Tuusula is a municipality in southern Finland known for its lakeside landscapes and rich cultural history, particularly as a former home to many prominent Finnish artists.
  • D. Loimaa
    Loimaa is a town and municipality in southwestern Finland known for its agricultural surroundings and small-town character.
  • E. Tapiola
    Tapiola is a well-known garden city–style district in Espoo, Finland, recognized for its modernist architecture, green spaces, and cultural amenities.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44230fc688190a6a7edc12d9e9947 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.