Triple

T23497986
Position Surface form Disambiguated ID Type / Status
Subject Emmen railway station E571753 entity
Predicate hasStationCode P1289 FINISHED
Object Emn 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: Emn | Statement: [Emmen railway station, hasStationCode, Emn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emn
Context triple: [Emmen railway station, hasStationCode, Emn]
  • A. ENNM
    ENNM is the ICAO airport code for Namsos Airport, Høknesøra in Norway.
  • B. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • C. Emmavail
    Emmavail is a person whose given name is Emmavail, known in full as Emmavail Luce.
  • D. Enemanit
    Enemanit is a small islet located within Majuro Lagoon in the Marshall Islands, known for its tropical setting and surrounding coral waters.
  • E. Emmen chosen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e184ec8190aff3677c9b00a8f2 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.