Triple

T7903663
Position Surface form Disambiguated ID Type / Status
Subject Lissa E183517 entity
Predicate hasPresentDayPopulationCenter P2106 FINISHED
Object Leszno E149724 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: Leszno | Statement: [Lissa, hasPresentDayPopulationCenter, Leszno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leszno
Context triple: [Lissa, hasPresentDayPopulationCenter, Leszno]
  • A. Leszno chosen
    Leszno is a town in western Poland known as a local economic and cultural center in the Greater Poland Voivodeship.
  • B. Brzesko
    Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
  • C. Legnica
    Legnica is a historic city in southwestern Poland known for its medieval architecture, including a prominent castle and old town, and its role as a regional cultural and economic center.
  • D. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • E. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • 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: hasPresentDayPopulationCenter
Context triple: [Lissa, hasPresentDayPopulationCenter, Leszno]
  • A. hasPopulationCenter chosen
    Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
  • B. hasPopulationCenterType
    Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
  • C. hasDemographicCenter
    Indicates that an entity has a primary geographic location where the majority or core concentration of its associated population or demographic group is found.
  • D. majorPopulationCenter
    Indicates that a location functions as a primary hub of population concentration and activity within a region.
  • E. appliesToPopulationCenter
    Indicates that something (such as a rule, condition, or characteristic) is relevant or applicable to a specific population center (e.g., a city, town, or urban area).
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a41b0fc81909890f2e4f432a5cf completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2802d74f081909c7af34bf266ae01 completed April 29, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69cae92f9498819085277879e59aa072 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:02 p.m.