Triple

T23048541
Position Surface form Disambiguated ID Type / Status
Subject Pašman E573945 entity
Predicate hasMajorSettlement P316 FINISHED
Object Tkon 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: Tkon | Statement: [Pašman, hasMajorSettlement, Tkon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tkon
Context triple: [Pašman, hasMajorSettlement, Tkon]
  • A. Tkon chosen
    Tkon is a small coastal municipality and village located on the island of Pašman in Croatia, known for its fishing tradition, beaches, and ferry connection to the mainland.
  • B. Koni
    Koni is a diminutive form of the given name Konrad, typically used as an affectionate nickname.
  • C. Tosh
    Tosh is a small, scenic Himalayan village in India’s Parvati Valley, known for its mountain views, trekking routes, and backpacker-friendly guesthouses.
  • D. Kotu
    Kotu is a small inhabited island in the Haʻapai group of the Kingdom of Tonga, known for its traditional Tongan village life and remote, low-lying coral landscape.
  • E. Kotu
    Kotu is a coastal suburb in the Gambia known for its beach resorts and tourism along the Atlantic shoreline.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867a206c81909ff923cbf56f7787 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.