Triple

T14109692
Position Surface form Disambiguated ID Type / Status
Subject Østerport E339600 entity
Predicate hasService P182 FINISHED
Object S-train line E E440914 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: S-train line E | Statement: [Østerport, hasService, S-train line E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S-train line E
Context triple: [Østerport, hasService, S-train line E]
  • A. S-train line E chosen
    S-train line E is a Copenhagen suburban rail service that runs between central Copenhagen and the northern town of Hillerød as part of the city's S-train network.
  • B. S-train line A
    S-train line A is a commuter rail service in the Copenhagen S-train network that runs through central Copenhagen and serves key stations including Østerport.
  • C. S-train line C
    S-train line C is a commuter rail service in the Copenhagen S-train network that runs through central Copenhagen and serves key stations including Østerport.
  • D. Copenhagen–Høje Taastrup line
    The Copenhagen–Høje Taastrup line is a major Danish railway corridor connecting central Copenhagen with the western suburb of Høje Taastrup, serving both regional and long-distance traffic.
  • E. Línea E
    Línea E is a line of the Buenos Aires Underground that serves several neighborhoods in Argentina’s capital as part of its metro system.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193332308190870c4ec7c9753202 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:22 p.m.