Triple

T7406958
Position Surface form Disambiguated ID Type / Status
Subject PUS E170894 entity
Predicate UNLocode P1800 FINISHED
Object KR PUS E170895 NE 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: KR PUS | Statement: [PUS, UNLocode, KR PUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KR PUS
Context triple: [PUS, UNLocode, KR PUS]
  • A. KR
    KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
  • B. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • C. .kr
    .kr is the country code top-level domain (ccTLD) designated for websites associated with South Korea.
  • D. RKPK chosen
    RKPK is the ICAO airport code for Gimhae International Airport, serving the Busan region in South Korea.
  • 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 (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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f298f2388190afc944c9bc78749a completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111adbf48190a04df3cec1017b39 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.