Triple

T5891542
Position Surface form Disambiguated ID Type / Status
Subject Askernish E131000 entity
Predicate postcodeArea P920 FINISHED
Object HS
HS is the postcode area covering the Outer Hebrides (Western Isles) of Scotland.
E552371 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: HS | Statement: [Askernish, postcodeArea, HS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HS
Context triple: [Askernish, postcodeArea, HS]
  • A. HS
    HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
  • B. SHS
    SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
  • C. SHS
    SHS is the commonly used abbreviation for the Shanghai Sharks, a professional basketball team based in Shanghai, China.
  • D. HSC
    HSC is the abbreviation for the Harmonized System Committee, the international body responsible for overseeing and updating the Harmonized Commodity Description and Coding System used in global trade.
  • E. HSC
    HSC is the three-letter station code used to identify High Street Kensington Underground station on the London Underground network.
  • 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: HS
Triple: [Askernish, postcodeArea, HS]
Generated description
HS is the postcode area covering the Outer Hebrides (Western Isles) of Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HS
Target entity description: HS is the postcode area covering the Outer Hebrides (Western Isles) of Scotland.
  • A. HS
    HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
  • B. SHS
    SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
  • C. SHS
    SHS is the commonly used abbreviation for the Shanghai Sharks, a professional basketball team based in Shanghai, China.
  • D. HSC
    HSC is the abbreviation for the Harmonized System Committee, the international body responsible for overseeing and updating the Harmonized Commodity Description and Coding System used in global trade.
  • E. HSC
    HSC is the three-letter station code used to identify High Street Kensington Underground station on the London Underground network.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b45bec81908a13f39bbc181a59 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b14c2ff081908243988d5815be6d completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b1fabe448190be7d93b1f8c17c2a completed March 23, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69c0b29d6048819086c4d4cd01c64a51 completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:58 p.m.