Triple

T2356062
Position Surface form Disambiguated ID Type / Status
Subject Bensenville, Illinois E47557 entity
Predicate borderChangesRelatedTo P21193 FINISHED
Object O'Hare International Airport expansion 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: O'Hare International Airport expansion | Statement: [Bensenville, Illinois, borderChangesRelatedTo, O'Hare International Airport expansion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderChangesRelatedTo
Context triple: [Bensenville, Illinois, borderChangesRelatedTo, O'Hare International Airport expansion]
  • A. borderChange chosen
    Indicates a change in the boundaries between geographic or political entities, such as when borders are redrawn, expanded, reduced, or otherwise altered over time.
  • B. borderStateNearby
    Indicates that one state is geographically close to, but does not necessarily directly touch, the border of another state.
  • C. borderConcern
    Indicates a relationship where one entity has issues, disputes, or security considerations related to its shared boundary or border with another entity.
  • D. borderRegion
    Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
  • E. borderMonitored
    Indicates that a border between two regions or entities is actively being watched, controlled, or surveilled.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abcb802da08190980100444010f91e completed March 7, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69abc5981ce48190a3f7852d28276e11 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:54 p.m.