Triple

T16749957
Position Surface form Disambiguated ID Type / Status
Subject Beograđanka E407046 entity
Predicate locatedIn P40 FINISHED
Object King Milan Street E1232585 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: King Milan Street | Statement: [Beograđanka, locatedIn, King Milan Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Milan Street
Context triple: [Beograđanka, locatedIn, King Milan Street]
  • A. Nemanjina Street
    Nemanjina Street is a major central thoroughfare in Belgrade, Serbia, known for its important government buildings and institutions.
  • B. Kralja Milana Street chosen
    Kralja Milana Street is one of the main central thoroughfares in Belgrade, Serbia, linking key city squares and serving as an important commercial and traffic artery.
  • C. Marshal Tito Street
    Marshal Tito Street is one of Sarajevo’s main central thoroughfares, historically significant as a key commercial and cultural artery of the city.
  • D. Stritar Street
    Stritar Street is a central pedestrian thoroughfare in Ljubljana, Slovenia, linking the historic Old Town with Prešeren Square and the Triple Bridge.
  • E. Gajeva Street
    Gajeva Street is a central street in Zagreb, Croatia, known for linking the main Ban Jelačić Square with other key parts of the city’s downtown area.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa265a908190a87fa4612bfe6396 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb069cf481908e029b26ad96d3b5 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:21 a.m.