Triple

T9276827
Position Surface form Disambiguated ID Type / Status
Subject GL postcode area E222968 entity
Predicate containsPostcodeDistrict P32592 FINISHED
Object GL51
GL51 is a UK postal district covering parts of Cheltenham and its surrounding areas within the GL (Gloucester) postcode region.
 E788853 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: GL51 | Statement: [GL postcode area, containsPostcodeDistrict, GL51]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GL51
Context triple: [GL postcode area, containsPostcodeDistrict, GL51]
  • A. SL5
    SL5 is a bus rapid transit route on Boston’s MBTA Silver Line that runs between downtown and the Roxbury/Dudley Square area.
  • B. G50
    G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
  • C. CL-52
    CL-52 was the hull number of USS Juneau, a World War II United States Navy Atlanta-class light cruiser best known for its sinking in the Naval Battle of Guadalcanal and the loss of the five Sullivan brothers.
  • D. L110
    L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
  • E. LC-5
    LC-5 is a historic launch complex at Cape Canaveral used for early U.S. crewed spaceflights during the Mercury program.
  • 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: GL51
Triple: [GL postcode area, containsPostcodeDistrict, GL51]
Generated description
GL51 is a UK postal district covering parts of Cheltenham and its surrounding areas within the GL (Gloucester) postcode region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GL51
Target entity description: GL51 is a UK postal district covering parts of Cheltenham and its surrounding areas within the GL (Gloucester) postcode region.
  • A. SL5
    SL5 is a bus rapid transit route on Boston’s MBTA Silver Line that runs between downtown and the Roxbury/Dudley Square area.
  • B. G50
    G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
  • C. CL-52
    CL-52 was the hull number of USS Juneau, a World War II United States Navy Atlanta-class light cruiser best known for its sinking in the Naval Battle of Guadalcanal and the loss of the five Sullivan brothers.
  • D. L110
    L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
  • E. LC-5
    LC-5 is a historic launch complex at Cape Canaveral used for early U.S. crewed spaceflights during the Mercury program.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07c95a98819098528b7ada37ddc1 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c467a2881909a4c4aafdc2490f0 completed April 4, 2026, 5:06 a.m.
NEDg Description generation batch_69d09d6cc45c8190b6cb44212ccfcbc8 completed April 4, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2450048190b5aa31507e54d6c8 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:34 p.m.