Triple

T2147751
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2 (Geneva Airport) E47106 entity
Predicate hasICAOCode P419 FINISHED
Object LSGG E41843 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: LSGG | Statement: [Terminal 2 (Geneva Airport), hasICAOCode, LSGG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSGG
Context triple: [Terminal 2 (Geneva Airport), hasICAOCode, LSGG]
  • A. LSGG chosen
    LSGG is the ICAO airport code for Geneva Airport, the international airport serving Geneva, Switzerland.
  • B. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • C. LSG
    LSG is the standard French abbreviation for the Louis Segond Bible, a widely used Protestant translation of the Scriptures into French.
  • D. Grizz Gaming
    Grizz Gaming is the official NBA 2K League esports team affiliated with the Memphis Grizzlies.
  • E. WBG
    WBG is the commonly used abbreviation for the World Bank Group, an international financial institution that provides loans and grants to support development and reduce poverty worldwide.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe271adc8190888c9086e9b8cc0c completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d9c52081909f6acb0558369310 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.