Triple

T20771898
Position Surface form Disambiguated ID Type / Status
Subject ICE 2 E511256 entity
Predicate manufacturer P490 FINISHED
Object DWA NE NERFINISHED

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: DWA | Statement: [ICE 2, manufacturer, DWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DWA
Context triple: [ICE 2, manufacturer, DWA]
  • A. DWA
    DWA is the commonly used abbreviation for the International Labour Organization’s Decent Work Agenda, a global framework promoting fair, secure, and dignified employment.
  • B. DWA chosen
    DWA is a company known for manufacturing the ICE T high-speed tilting trains used in Germany’s rail network.
  • C. DWD
    DWD is the three-letter National Rail station code for Dolwyddelan railway station in Wales.
  • D. DWB
    DWB is the abbreviation for the Deutscher Werkbund, a pioneering German association of artists, architects, designers, and industrialists founded in 1907 that significantly influenced modern design and architecture.
  • E. WADW
    WADW is the ICAO airport code for Umbu Mehang Kunda Airport in Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2681ff88190bfe5938c2db6b2c4 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.