Triple

T6651845
Position Surface form Disambiguated ID Type / Status
Subject Oder flood of 1997 E150839 entity
Predicate floodPeakLocation P72076 FINISHED
Object Wrocław E17157 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: Wrocław | Statement: [Oder flood of 1997, floodPeakLocation, Wrocław]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wrocław
Context triple: [Oder flood of 1997, floodPeakLocation, Wrocław]
  • A. Wrocław chosen
    Wrocław is a major historic city in southwestern Poland, known for its picturesque Old Town, numerous bridges over the Oder River, and role as a cultural and academic center.
  • B. Katowice
    Katowice is a major industrial and cultural city in southern Poland, known as the capital of the Silesian region.
  • C. Poznań
    Poznań is a historic and economically significant city in western Poland, known for its medieval Old Town, role as an early center of Polish statehood, and status as a major academic and industrial hub.
  • D. Kraków
    Kraków is one of Poland’s oldest and most historically significant cities, renowned for its well-preserved medieval core, royal heritage, and cultural institutions.
  • E. Opole Silesia
    Opole Silesia is a historical and cultural region in southwestern Poland, known for its mixed Polish-German heritage and centered around the city of Opole.
  • 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: floodPeakLocation
Context triple: [Oder flood of 1997, floodPeakLocation, Wrocław]
  • A. floodRecord
    Indicates that an entity serves as a documented record or report of a flood event affecting another entity or area.
  • B. floodGauge
    Indicates that a device or measurement point is used to monitor and record the level or intensity of flooding at a specific location.
  • C. floodEvent
    Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
  • D. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • E. hydrologicallyLocatedIn
    Indicates that a water-related feature (such as a river, lake, or watershed) is situated within or associated with a specific geographic or administrative area in terms of hydrology.
  • F. None of above. chosen

Provenance (5 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de86454081909232f45fa7d48976 completed March 29, 2026, 8:10 a.m.
PD Predicate disambiguation batch_69c6ad071b0081909b96dd4b93414bd1 completed March 27, 2026, 4:15 p.m.
PDg Predicate description generation batch_69c6cc988c0081909d22b86ca299331c completed March 27, 2026, 6:29 p.m.
Created at: March 27, 2026, 2:01 p.m.