Triple

T17200639
Position Surface form Disambiguated ID Type / Status
Subject Cos E417463 entity
Predicate airportIATA P418 FINISHED
Object KGS E368262 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: KGS | Statement: [Cos, airportIATA, KGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KGS
Context triple: [Cos, airportIATA, KGS]
  • A. KGS chosen
    KGS is the IATA airport code for Kos Island International Airport, which serves the Greek island of Kos in the Aegean Sea.
  • B. KGS
    KGS is the official currency code for the Kyrgyzstani som, the national currency of Kyrgyzstan.
  • C. Weiqi
    Weiqi, better known internationally as Go, is an ancient Chinese abstract strategy board game in which two players compete to control territory using black and white stones on a grid.
  • D. Pente
    Pente is a district or locality within the town of Bramsche in Lower Saxony, Germany.
  • E. International Go Federation
    The International Go Federation is the global governing body that promotes and organizes international activities and competitions for the board game Go.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daf2e5c81909c97d2e7a3ed7b88 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fda06788190882aef1a57356e41 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.