Triple

T26496679
Position Surface form Disambiguated ID Type / Status
Subject Saint Petersburg State University of Economics buildings E669299 entity
Predicate cityDistrictFeature P161566 FINISHED
Object Fontanka River embankment 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: Fontanka River embankment | Statement: [Saint Petersburg State University of Economics buildings, cityDistrictFeature, Fontanka River embankment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cityDistrictFeature
Context triple: [Saint Petersburg State University of Economics buildings, cityDistrictFeature, Fontanka River embankment]
  • A. cityDistrictFunction
    Indicates that a specific function, role, or land-use purpose is assigned to or characterizes a particular district within a city.
  • B. cityDistrictType
    Indicates the type or classification of a city district within an urban or administrative structure.
  • C. cityDistrictLevel
    Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
  • D. targetCityDistrict
    Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
  • E. inCityDistrict
    Indicates that one entity is located within the boundaries of a specific city district.
  • F. None of above. chosen

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_69eeb319007081909642b414b114b35a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61ad613608190855de13501a86007 completed May 2, 2026, 3:40 p.m.
PD Predicate disambiguation batch_69f611ab768c8190b1849c15a3e59dda completed May 2, 2026, 3 p.m.
PDg Predicate description generation batch_69f61a16b7848190bf20d2be7e5a16c1 completed May 2, 2026, 3:36 p.m.
Created at: April 27, 2026, 1:09 a.m.