Triple

T29125324
Position Surface form Disambiguated ID Type / Status
Subject Liúyáng E738208 entity
Predicate denotesAdministrativeLevel P157112 FINISHED
Object county-level city 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: county-level city | Statement: [Liúyáng, denotesAdministrativeLevel, county-level city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: denotesAdministrativeLevel
Context triple: [Liúyáng, denotesAdministrativeLevel, county-level city]
  • A. levelInAdministrativeHierarchy chosen
    Indicates the relative position or rank of an administrative unit within a broader hierarchical administrative structure.
  • B. sharesAdministrativeLevel
    Indicates that two entities are associated with the same tier or rank within an administrative or governmental hierarchy.
  • C. denotesAdministrativeArea
    Indicates that one entity designates or specifies another entity as its relevant administrative area or jurisdiction.
  • D. isPartOfAdministrativeLevel
    Indicates that one administrative unit is contained within or belongs to a higher-level administrative division in a governance hierarchy.
  • E. lowestAdministrativeLevel
    Indicates that the subject entity is at the smallest or most granular administrative division within a given territorial or organizational hierarchy.
  • F. None of above.

Provenance (3 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_69f07cb29cdc8190afa55444553de60c completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec5bf508190ad088b89455252bd completed May 2, 2026, 9:38 p.m.
Created at: April 28, 2026, 11:28 a.m.