Triple

T2841444
Position Surface form Disambiguated ID Type / Status
Subject Bognor Regis E62477 entity
Predicate hasPostcodeArea P920 FINISHED
Object PO
PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
 E304586 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: PO | Statement: [Bognor Regis, hasPostcodeArea, PO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PO
Context triple: [Bognor Regis, hasPostcodeArea, PO]
  • A. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • B. POL
    POL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Poland in international standards and data systems.
  • C. POR
    POR is the three-letter FIFA country code used to represent the Portugal national football team in international competitions and rankings.
  • D. POU
    POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
  • E. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • 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: PO
Triple: [Bognor Regis, hasPostcodeArea, PO]
Generated description
PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PO
Target entity description: PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
  • A. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • B. POL
    POL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Poland in international standards and data systems.
  • C. POR
    POR is the three-letter FIFA country code used to represent the Portugal national football team in international competitions and rankings.
  • D. POU
    POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
  • E. P
    P is the vehicle registration code used on license plates for the Czech city of Plzeň.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf16d0c08190bb8de4a4160b4414 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d22e588190b119e7d9f9c3873a completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afea1732b481909a8df01d80ca1bd4 completed March 10, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69b00eff94b481909a4cc08c8494870c completed March 10, 2026, 12:30 p.m.
Created at: March 6, 2026, 10:01 p.m.