Triple

T4909563
Position Surface form Disambiguated ID Type / Status
Subject Lille-Europe station E110198 entity
Predicate railwayStationCode P1289 FINISHED
Object LEU E101075 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: LEU | Statement: [Lille-Europe station, railwayStationCode, LEU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LEU
Context triple: [Lille-Europe station, railwayStationCode, LEU]
  • A. LEU chosen
    LEU is the National Rail station code for Leuchars (for St Andrews) railway station in Fife, Scotland.
  • B. LECU
    LECU is the ICAO airport code for Cuatro Vientos Air Base, a historic military and general aviation airfield serving the Madrid area in Spain.
  • C. leu
    The leu is the monetary unit historically used in the Danubian Principalities and later adopted as the national currency of both Romania and Moldova.
  • D. LE-9
    The LE-9 is a next-generation liquid hydrogen–liquid oxygen rocket engine developed by Japan’s JAXA and Mitsubishi Heavy Industries for the core stage of the H3 launch vehicle, emphasizing high efficiency and cost-effective, reliable operation.
  • E. LERU
    LERU is a consortium of leading European research-intensive universities that collaborates to influence research policy and promote high-quality academic research and education in Europe.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe43a888190ab1b150da0f49203 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.