Triple

T14952126
Position Surface form Disambiguated ID Type / Status
Subject Vredenburg square E372820 entity
Predicate hasNearbyShoppingStreet P8235 FINISHED
Object Steenweg E790157 NE FINISHED

How this triple was built (3 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: Steenweg | Statement: [Vredenburg square, hasNearbyShoppingStreet, Steenweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steenweg
Context triple: [Vredenburg square, hasNearbyShoppingStreet, Steenweg]
  • A. Rennweg
    Rennweg is a historic street in Zurich, Switzerland, known for its medieval origins and central location in the city’s Old Town.
  • B. Westphalweg
    Westphalweg is a station on Berlin’s U6 U-Bahn line serving the Tempelhof-Schöneberg district in the southern part of the city.
  • C. Steenstraat chosen
    Steenstraat is one of the main historic shopping streets in the center of Bruges, Belgium, lined with traditional architecture, boutiques, and cafés.
  • D. Duenweg
    Duenweg is a small city located in Jasper County in southwestern Missouri, United States.
  • E. Wollestraat
    Wollestraat is a historic shopping street in the center of Bruges, Belgium, known for its medieval architecture and proximity to the city’s main square.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyShoppingStreet
Context triple: [Vredenburg square, hasNearbyShoppingStreet, Steenweg]
  • A. hasNearbyStreet chosen
    Indicates that one entity is located close to or adjacent to a street.
  • B. isShoppingStreet
    Indicates that a location functions primarily as a street characterized by a concentration of shops and commercial retail activity.
  • C. hasShoppingDistrictName
    Indicates that an entity’s shopping district is identified by a specific name.
  • D. hasShoppingDistrict
    Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
  • E. hasShoppingDistrictType
    Indicates that an entity is associated with a particular type or category of shopping district.
  • F. None of above.

Provenance (4 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded690f2e08190ad9dad6dc05a164a completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e9a6098819087b6e81bebcf6805 completed May 9, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69de9a588c2c8190b1245a1c406f447c completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:39 a.m.