Triple

T23426249
Position Surface form Disambiguated ID Type / Status
Subject Mostar interchange E560802 entity
Predicate connects P390 FINISHED
Object Slavija Square area 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: Slavija Square area | Statement: [Mostar interchange, connects, Slavija Square area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slavija Square area
Context triple: [Mostar interchange, connects, Slavija Square area]
  • A. Slavija Square chosen
    Slavija Square is a major traffic hub and commercial area in Belgrade, Serbia, known for its busy roundabout and central location connecting several important city districts.
  • B. Slomšek Square
    Slomšek Square is a central public square in Maribor, Slovenia, known as a cultural and religious hub and a key urban landmark of the city.
  • C. Korenmarkt square area
    Korenmarkt square area is a historic central square in Ghent, Belgium, known as a major hub of city life, commerce, and tourism surrounded by notable medieval landmarks.
  • D. Luza Square
    Luza Square is a historic central plaza in Dubrovnik’s Old City, known as a focal point for public life, ceremonies, and surrounding landmark buildings.
  • E. Jurisics Square
    Jurisics Square is the historic main square of Kőszeg, Hungary, known for its well-preserved medieval architecture and central role in the town’s cultural life.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54a28a08190add6184a44c5005b completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:47 p.m.