Triple

T11552812
Position Surface form Disambiguated ID Type / Status
Subject Jewellery Quarter railway station E273937 entity
Predicate hasStationCode P1289 FINISHED
Object JEQ
JEQ is the National Rail station code for Jewellery Quarter railway station in Birmingham, England.
 E932751 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: JEQ | Statement: [Jewellery Quarter railway station, hasStationCode, JEQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JEQ
Context triple: [Jewellery Quarter railway station, hasStationCode, JEQ]
  • A. EQE
    EQE is a fully electric executive sedan from Mercedes-Benz’s EQ lineup, positioned as a mid-size luxury alternative to the traditional E-Class.
  • B. FEQ
    FEQ is a major annual summer music festival held in Quebec City, Canada, featuring a wide range of international and local artists across multiple genres.
  • C. EQY
    EQY is the IATA airport code for Charlotte–Monroe Executive Airport, a public airport serving the Monroe and greater Charlotte area in North Carolina, United States.
  • D. JQ
    JQ is the IATA airline designator used by Jetstar Airways, a major Australian low-cost carrier.
  • E. JEK
    JEK is the station code for Jenkintown–Wyncote, a major SEPTA Regional Rail hub in the northern suburbs of Philadelphia.
  • 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: JEQ
Triple: [Jewellery Quarter railway station, hasStationCode, JEQ]
Generated description
JEQ is the National Rail station code for Jewellery Quarter railway station in Birmingham, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JEQ
Target entity description: JEQ is the National Rail station code for Jewellery Quarter railway station in Birmingham, England.
  • A. EQE
    EQE is a fully electric executive sedan from Mercedes-Benz’s EQ lineup, positioned as a mid-size luxury alternative to the traditional E-Class.
  • B. FEQ
    FEQ is a major annual summer music festival held in Quebec City, Canada, featuring a wide range of international and local artists across multiple genres.
  • C. EQY
    EQY is the IATA airport code for Charlotte–Monroe Executive Airport, a public airport serving the Monroe and greater Charlotte area in North Carolina, United States.
  • D. JQ
    JQ is the IATA airline designator used by Jetstar Airways, a major Australian low-cost carrier.
  • E. JEK
    JEK is the station code for Jenkintown–Wyncote, a major SEPTA Regional Rail hub in the northern suburbs of Philadelphia.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e851a6688190996580a077496833 completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef93e7d88190af3853b82de23c1b completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.