Triple

T1443356
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 53 E31122 entity
Predicate hasStation P35 FINISHED
Object Gein
Gein is a metro station in Amsterdam, Netherlands, serving as one of the termini of the city's metro network.
E165425 NE FINISHED

How this triple was built (4 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: Gein | Statement: [Amsterdam Metro line 53, hasStation, Gein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gein
Context triple: [Amsterdam Metro line 53, hasStation, Gein]
  • A. Gyes
    Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
  • B. Gerloc
    Gerloc was a 10th-century Norman noblewoman, traditionally identified as the daughter of Viking leader Rollo and later known for her marriage into the powerful House of Blois.
  • C. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Handai
    Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
  • E. Kigensetsu
    Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gein
Triple: [Amsterdam Metro line 53, hasStation, Gein]
Generated description
Gein is a metro station in Amsterdam, Netherlands, serving as one of the termini of the city's metro network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gein
Target entity description: Gein is a metro station in Amsterdam, Netherlands, serving as one of the termini of the city's metro network.
  • A. Gyes
    Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
  • B. Gerloc
    Gerloc was a 10th-century Norman noblewoman, traditionally identified as the daughter of Viking leader Rollo and later known for her marriage into the powerful House of Blois.
  • C. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • D. Handai
    Handai is the common Japanese abbreviation for Osaka University, a leading national research university based in Osaka, Japan.
  • E. Kigensetsu
    Kigensetsu was a pre-World War II Japanese national holiday that celebrated the mythical founding of Japan and the divine origins of the emperor.
  • F. None of above. chosen

Provenance (5 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c533a158819084d0917776edb6e5 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08be450c8190bc0b8a69733a0bd4 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad09823ce481908b5db3ee9ebd1a88 completed March 8, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a8f17888190913c06641a6ac060 completed March 8, 2026, 5:35 a.m.
Created at: March 1, 2026, 8 p.m.