Triple

T1986139
Position Surface form Disambiguated ID Type / Status
Subject Cheltenham E43144 entity
Predicate hasPostcodeArea P920 FINISHED
Object GL
GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
E222968 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: GL | Statement: [Cheltenham, hasPostcodeArea, GL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GL
Context triple: [Cheltenham, hasPostcodeArea, GL]
  • A. GL
    GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
  • B. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • C. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • D. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • E. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • 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: GL
Triple: [Cheltenham, hasPostcodeArea, GL]
Generated description
GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: GL
Target entity description: GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
  • A. GL
    GL is the commonly used abbreviation for GroenLinks, a Dutch green-left political party focused on environmentalism, social justice, and progressive policies.
  • B. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • C. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • D. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • E. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8232d788190938f261fd4b2f2fd completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0331eec881909463163fb71e4eba completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03e575a88190a93181eb9d9bc3eb completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0473aecc8190b3da07fb8fd18e81 completed March 8, 2026, 11:21 p.m.
Created at: March 4, 2026, 7:37 p.m.