Triple

T1403378
Position Surface form Disambiguated ID Type / Status
Subject Zagreb E31635 entity
Predicate isCountyLevelUnit P27610 FINISHED
Object yes LITERAL 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: yes | Statement: [Zagreb, isCountyLevelUnit, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCountyLevelUnit
Context triple: [Zagreb, isCountyLevelUnit, yes]
  • A. isInCountySeatOf
    Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
  • B. isInCountySubdivision
    Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
  • C. inCounty
    Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
  • D. isUrbanCounty
    Indicates that a county is classified as urban, typically based on population density, development level, or similar urbanization criteria.
  • E. isSubProvincialCity
    Indicates that a city holds a sub-provincial administrative status, ranking below a province but above ordinary prefecture-level cities in the governmental hierarchy.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3a0330c8190b22452d29c79fcf4 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bf030a388190bc82d30b9233e873 completed March 1, 2026, 10:34 p.m.
PDg Predicate description generation batch_69a4c11067b48190bca6ef3ac1475c20 completed March 1, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:59 p.m.