Triple

T9413057
Position Surface form Disambiguated ID Type / Status
Subject Gimpo E226749 entity
Predicate airportIATA P418 FINISHED
Object GMP E467925 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: GMP | Statement: [Gimpo, airportIATA, GMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMP
Context triple: [Gimpo, airportIATA, GMP]
  • A. GMP chosen
    GMP is the IATA airport code for Gimpo International Airport, a major airport serving the Seoul metropolitan area in South Korea.
  • B. Good Manufacturing Practices
    Good Manufacturing Practices are a set of regulatory and industry standards that ensure products are consistently produced and controlled to quality and safety requirements, particularly in sectors like food, pharmaceuticals, and cosmetics.
  • C. GKChP
    GKChP was the hardline Soviet leadership group that attempted a coup against Mikhail Gorbachev in August 1991 to halt his reforms and preserve the USSR.
  • D. GSP
    GSP is a regional vehicle registration code used on license plates issued in the Pomeranian Voivodeship of Poland.
  • E. GSP
    GSP is the IATA airport code for Greenville–Spartanburg International Airport, the primary commercial airport serving the Greenville–Spartanburg metropolitan area in South Carolina.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5258f7e081908d48600409181fdb completed April 1, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107b0f9648190894a4cd13d7e5fb5 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.