Triple

T844441
Position Surface form Disambiguated ID Type / Status
Subject Kingston upon Hull E18246 entity
Predicate hasPostcodeArea P920 FINISHED
Object HU
HU is the postcode area covering Kingston upon Hull and its surrounding region in the United Kingdom.
E99544 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: HU | Statement: [Kingston upon Hull, hasPostcodeArea, HU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HU
Context triple: [Kingston upon Hull, hasPostcodeArea, HU]
  • A. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • B. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • C. Hor
    Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
  • D. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • E. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • 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: HU
Triple: [Kingston upon Hull, hasPostcodeArea, HU]
Generated description
HU is the postcode area covering Kingston upon Hull and its surrounding region in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HU
Target entity description: HU is the postcode area covering Kingston upon Hull and its surrounding region in the United Kingdom.
  • A. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • B. HN
    HN is the two-letter ISO 3166-1 alpha-2 country code assigned to Honduras.
  • C. Hor
    Hor is an abbreviated form of the name Horace, often used as a short or familiar version of it.
  • D. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • E. HB
    HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac09249c8190a8099b94a3c9e2cc completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929c8c9c8190a0279f347ab64765 completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a792fcb75881908562b79005d62b3b completed March 4, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69a793fd988481908ad3c6d2cd46026d completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:38 p.m.