Triple

T17131429
Position Surface form Disambiguated ID Type / Status
Subject ESA ESTRACK network E415728 entity
Predicate hasPart P35 FINISHED
Object Redu Station
Redu Station is a European Space Agency ground tracking facility in Belgium that supports satellite communications, control, and data reception as part of the ESTRACK network.
 E1252765 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: Redu Station | Statement: [ESA ESTRACK network, hasPart, Redu Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Redu Station
Context triple: [ESA ESTRACK network, hasPart, Redu Station]
  • A. Tannowa Station
    Tannowa Station is a railway station in Misaki, Osaka Prefecture, Japan, operated by Nankai Electric Railway on the Tanagawa Line.
  • B. Lesja Station
    Lesja Station is a rural railway stop in Norway serving the village of Lesja and connecting the area to the wider national rail network.
  • C. Wende station
    Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
  • D. Insein station
    Insein station is a railway stop in the Insein Township of Yangon, Myanmar, serving passengers on the Yangon Circular Railway commuter line.
  • E. Viau station
    Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
  • 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: Redu Station
Triple: [ESA ESTRACK network, hasPart, Redu Station]
Generated description
Redu Station is a European Space Agency ground tracking facility in Belgium that supports satellite communications, control, and data reception as part of the ESTRACK network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Redu Station
Target entity description: Redu Station is a European Space Agency ground tracking facility in Belgium that supports satellite communications, control, and data reception as part of the ESTRACK network.
  • A. Tannowa Station
    Tannowa Station is a railway station in Misaki, Osaka Prefecture, Japan, operated by Nankai Electric Railway on the Tanagawa Line.
  • B. Lesja Station
    Lesja Station is a rural railway stop in Norway serving the village of Lesja and connecting the area to the wider national rail network.
  • C. Wende station
    Wende station is a metro station on Taipei's Wenhu (Brown) Line serving the Neihu District in Taiwan.
  • D. Insein station
    Insein station is a railway stop in the Insein Township of Yangon, Myanmar, serving passengers on the Yangon Circular Railway commuter line.
  • E. Viau station
    Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02a9fbc81909d820d29417aa55c completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414cd5d481908d11eb230d2283cd completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01422c0f088190b162c7086bc93585 completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0142f274ec819081eb15a3ea0e1b13 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:36 a.m.