Triple

T6937962
Position Surface form Disambiguated ID Type / Status
Subject Old Town Lipscani E160599 entity
Predicate contains P35 FINISHED
Object Lipscani Street E629427 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: Lipscani Street | Statement: [Old Town Lipscani, contains, Lipscani Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipscani Street
Context triple: [Old Town Lipscani, contains, Lipscani Street]
  • A. Lipscani Street chosen
    Lipscani Street is a historic cobblestone thoroughfare in the heart of Bucharest’s Old Town, known for its preserved architecture, lively nightlife, and dense concentration of cafes, bars, and shops.
  • B. Nemanjina Street
    Nemanjina Street is a major central thoroughfare in Belgrade, Serbia, known for its important government buildings and institutions.
  • C. Gospodska Street
    Gospodska Street is a central pedestrian and shopping street in Banja Luka, known for its historic architecture, cafes, and vibrant urban life.
  • D. Váci Street
    Váci Street is one of Budapest’s main pedestrian shopping streets, known for its historic architecture, boutiques, cafés, and tourist-oriented atmosphere in the city center.
  • E. Ilica Street
    Ilica Street is one of the main and longest shopping and commercial streets in Zagreb, Croatia, stretching westward from Ban Jelačić Square.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da606328819095eb852f7a0842dc completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75861cd548190a215d616b68101d9 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:28 p.m.