Triple

T9389826
Position Surface form Disambiguated ID Type / Status
Subject Tarleton, Lancashire E225997 entity
Predicate postcodeArea P920 FINISHED
Object PR
PR is the postcode area covering Preston and surrounding parts of Lancashire in North West England.
 E795762 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: PR | Statement: [Tarleton, Lancashire, postcodeArea, PR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PR
Context triple: [Tarleton, Lancashire, postcodeArea, PR]
  • A. PR
    PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
  • B. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • C. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • D. Prem
    Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • E. Prem
    Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
  • 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: PR
Triple: [Tarleton, Lancashire, postcodeArea, PR]
Generated description
PR is the postcode area covering Preston and surrounding parts of Lancashire in North West England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PR
Target entity description: PR is the postcode area covering Preston and surrounding parts of Lancashire in North West England.
  • A. PR
    PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
  • B. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • C. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • D. Prem
    Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
  • E. Prem
    Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d83c188190925c389dff1341b0 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100f86bac8190a26ab156f24455bb completed April 4, 2026, 12:15 p.m.
NEDg Description generation batch_69d10156670c8190b61ef6231c2e78d2 completed April 4, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_69d10235f46c8190ba8eeb9382649f62 completed April 4, 2026, 12:21 p.m.
Created at: March 30, 2026, 7:45 p.m.