Triple

T19924136
Position Surface form Disambiguated ID Type / Status
Subject Dubrovnik-Neretva County E478879 entity
Predicate contains P35 FINISHED
Object Blato 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: Blato | Statement: [Dubrovnik-Neretva County, contains, Blato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blato
Context triple: [Dubrovnik-Neretva County, contains, Blato]
  • A. Blato chosen
    Blato is a historic inland town and one of the main settlements on the Croatian island of Korčula, known for its traditional architecture and wine-growing heritage.
  • B. Blato
    Blato is a small coastal village and settlement on the Croatian island of Mljet in the Adriatic Sea.
  • C. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • D. Bogrod
    Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
  • E. Mereczowszczyzna
    Mereczowszczyzna is a historic village in present-day Belarus best known as the birthplace of Polish–Lithuanian military leader and national hero Tadeusz Kościuszko.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c88c548190b9b9eccbdd07d977 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.