Triple

T23109099
Position Surface form Disambiguated ID Type / Status
Subject Cres E576265 entity
Predicate hasSettlement P1068 FINISHED
Object Valun 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: Valun | Statement: [Cres, hasSettlement, Valun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valun
Context triple: [Cres, hasSettlement, Valun]
  • A. Valun chosen
    Valun is a small coastal village on the Croatian island of Cres, known for its picturesque bay and traditional Mediterranean character.
  • B. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • C. Valnontey
    Valnontey is a small alpine hamlet and valley in Italy’s Aosta Valley, known as a gateway to Gran Paradiso National Park and a popular destination for hiking and ice climbing.
  • D. Vaala
    Vaala is a municipality in northern Finland known for its lakeside landscapes and location along the Oulujoki river.
  • E. Vuvalini
    The Vuvalini are a matriarchal tribe of seasoned warrior women and survivalists in the Mad Max: Fury Road universe, known for their resilience and combat prowess in the post-apocalyptic wasteland.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0d3d4881908e32837b3fbbb406 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.