Triple

T613855
Position Surface form Disambiguated ID Type / Status
Subject Wayne Township, DuPage County, Illinois E12158 entity
Predicate hasGeographicFeatureClass P9677 FINISHED
Object civil division 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: civil division | Statement: [Wayne Township, DuPage County, Illinois, hasGeographicFeatureClass, civil division]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGeographicFeatureClass
Context triple: [Wayne Township, DuPage County, Illinois, hasGeographicFeatureClass, civil division]
  • A. hasGeographyCharacteristic
    Indicates that an entity possesses a specific geographical feature, property, or attribute.
  • B. arealFeature
    Indicates a relationship where something is characterized as a spatial or geographic feature occupying an area on a surface or map.
  • C. GNISFeatureClass chosen
    Indicates the categorical type or class assigned to a geographic feature in the Geographic Names Information System (GNIS).
  • D. hasNaturalFeature
    Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
  • E. hasLandform
    Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49e0a0f588190b953fdb585263307 completed March 1, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69a49cfbcbf88190a854921dc531eba8 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.