Triple

T22619925
Position Surface form Disambiguated ID Type / Status
Subject GSP E558246 entity
Predicate hasICAOCode P419 FINISHED
Object KGSP NE NERFINISHED

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: KGSP | Statement: [GSP, hasICAOCode, KGSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KGSP
Context triple: [GSP, hasICAOCode, KGSP]
  • A. KGSP chosen
    KGSP is the ICAO airport code for Greenville–Spartanburg International Airport, a major commercial airport serving the Upstate region of South Carolina, USA.
  • B. KSPP
    KSPP is a Linux kernel security initiative focused on hardening the kernel against vulnerabilities and exploitation through proactive self-protection features.
  • C. GRSP
    GRSP is an international alliance of governments, businesses, and civil society organizations dedicated to improving road safety and reducing traffic-related deaths and injuries worldwide.
  • D. KGX
    KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
  • E. KPSP
    KPSP is the ICAO airport code for Palm Springs International Airport, a commercial airport serving Palm Springs, California, and the surrounding Coachella Valley region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e383b048190a432c540185916d0 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.