Triple

T9602307
Position Surface form Disambiguated ID Type / Status
Subject Ante Gotovina E231878 entity
Predicate placeOfBirth P1 FINISHED
Object Tkon E573946 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: Tkon | Statement: [Ante Gotovina, placeOfBirth, Tkon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tkon
Context triple: [Ante Gotovina, placeOfBirth, 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. 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.
  • D. Kuci
    Kuci is the historical name of Kuqa, an ancient oasis town and important Buddhist cultural center along the Silk Road in what is now Xinjiang, China.
  • E. Tiko
    Tiko is a coastal town and port in southwestern Cameroon known for its agricultural activities and role as a transport hub.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5af8f0819089408ed630afa812 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161ab093c81908c9fd5fde6746284 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:08 p.m.